109 Integer Jobs - Page 2

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Company Description: At AnjX, we believe that every decision impacts not only business outcomes but also the world around us. AnjX is dedicated to transforming global supply chains through AI-driven solutions that enhance efficiency and decision-making. By leveraging cutting-edge technology, AnjX helps businesses streamline processes, optimize resources, and ensure reliable planning. With a focus on demand forecasting, production planning, and inventory optimization, AnjX empowers enterprises to thrive in a rapidly evolving marketplace. Our mission is to create platforms that drive unprecedented speed, reliability, and transparency, helping organizations reduce their environmental impact while achieving operational excellence. We are seeking a dynamic and motivated candidates to join our team for a paid internship ( ₹8000/month) and contribute to the growth of AnjX. Roles and Responsibilities: Assist in developing mathematical models for optimizing production planning and inventory management. Work with the product team to define constraints, objectives, and optimization goals. Perform simulations and scenario analysis to evaluate different planning strategies. Help implement linear programming and mixed-integer programming models in collaboration with the software engineering team. Provide research support for new optimization techniques or approaches that could enhance the software. Skills Required: Understanding of linear programming, optimization techniques, and operations research concepts. Familiarity with tools like Python, MATLAB, R or Gurobi for optimization. Strong mathematical and problem-solving skills. Ability to work with cross-functional teams and translate business problems into mathematical models. Knowledge of supply chain and production planning is a plus. Background in mathematics, engineering, or operations research is preferred. On-site work at Chennai Office.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

About Team The Myntra Data Science team is at the forefront of innovation, delivering cutting-edge solutions that drive significant revenue and enhance customer experiences across various touchpoints. Every quarter, our models impact millions of customers, leveraging real-time, near-real-time, and offline solutions with diverse latency requirements. These models are built on massive datasets, allowing for deep learning and growth opportunities within a rapidly expanding organization. By joining our team, you'll gain hands-on experience with an extensive e-commerce platform, learning to develop models that handle millions of requests per second with sub-second latency. We take pride in deploying solutions that not only utilize state-of-the-art machine learning techniques—such as graph neural networks, diffusion models, transformers, representation learning, optimization methods, and Bayesian modeling—but also contribute to the research community with multiple peer-reviewed publications. Roles and Responsibilities Design, develop, and deploy advanced machine learning models and algorithms for Forecasting, Operations Research, and Time Series applications. Build and implement scalable solutions for supply chain optimization, demand forecasting, pricing, and trend prediction. Develop efficient forecasting models leveraging traditional and deep learning-based time series analysis techniques. Utilize optimization techniques for large-scale nonlinear and integer programming problems. Hands-on experience with optimization solvers like CPLEX, Gurobi, COIN-OR, or similar tools. Collaborate with Product, Engineering, and Business teams to understand challenges and integrate ML solutions effectively. Maintain and optimize machine learning pipelines, including data cleaning, feature extraction, and model training. Implement CI/CD pipelines for automated testing, deployment, and integration of machine learning models. Work closely with the Data Platforms team to collect, process, and analyze data crucial for model development. Stay up to date with the latest advancements in machine learning, forecasting, and optimization techniques, sharing insights with the team. Qualifications & Experience Experience with a Bachelor’s degree in Statistics, Operations Research, Mathematics, Computer Science, or a related field. Strong foundation in data structures, algorithms, and efficient processing of large datasets. Proficiency in Python for data science and machine learning applications. Experience in developing and deploying forecasting and time series models. Knowledge of ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Hands-on experience with optimization solvers and algorithms for supply chain and logistics problems. Strong problem-solving skills with a focus on applying OR techniques to real-world business challenges. Good to have research publications in Machine Learning, Forecasting, or Operations Research. Familiarity with cloud computing services (AWS, Google Cloud) and distributed systems. Strong communication skills with the ability to work independently and collaboratively in a team environment. Nice to Have Experience with Generative AI and Large Language Models (LLMs). Knowledge of ML orchestration tools such as Airflow, Kubeflow, and MLflow. Exposure to NLP and Computer Vision applications in an e-commerce setting. Understanding of ethical considerations in AI, including bias, fairness, and privacy. Exceptional candidates are encouraged to apply, even if they don’t meet every listed qualification. We value potential and a strong willingness to learn.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY GDS – Data and Analytics (D&A) – Senior – Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 3-7 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Patiënt Bezoeker Professional Zorgaanbod Campussen Het Jan Yperman Ziekenhuis is met meer dan 1400 medewerkers, 140 artsen en 532 bedden modern, jong en dynamisch. Een ziekenhuis waar de patiënt in het streven naar de beste zorg centraal staat en zeer veel aandacht aan kwalitatief hoogstaande geneeskunde wordt besteed. Als vernieuwend ziekenhuis investeren we in een stimulerende werkomgeving en teamwerk. We reiken volop kansen aan voor persoonlijke en professionele groei, met de focus op continue ontwikkeling en opleiding. Aan de slag als verpleegkundige in de polikliniek van Diksmuide en Poperinge Wil jij werken in een warme en professionele zorgomgeving? Op de poliklinieken van onze perifere campussen in Diksmuide en Poperinge staan we elke dag klaar om patiënten kwaliteitsvolle zorg te bieden. Deskundig, zorgzaam en met plezier. De werksfeer is open, informeel en collegiaal. Samen vormen we het visitekaartje van de poli. Jij zorgt ervoor dat patiënten zich welkom voelen en dat alles ook administratief vlot verloopt. Je komt terecht in een hecht team van een dertigtal artsen en zes verpleegkundigen. Ben jij net zo enthousiast als wij? Solliciteer dan snel, we maken graag kennis met je! Functie-inhoud Als verpleegkundige van deze poliklinieken coördineer en realiseer je medisch-technische onderzoeken en behandelingen in samenwerking met de betrokken artsen om een adequate en snelle diagnose en/of behandeling toe te laten. Jouw Takenpakket Omvat Onthalen, begeleiden en informeren van de patiënten en eventueel familie of begeleiders over het verloop van de medisch-technische onderzoeken of behandelingen om hun medewerking te bekomen, hen gerust te stellen en de onderzoeken of behandelingen op een optimale wijze uit te voeren. Plaatsen van de patiënt in een optimale positie zodat er precieze resultaten worden verkregen en uitvoeren van de onderzoeken, autonoom of in samenwerking met de arts. Bijstaan van de artsen in de uitvoering van de specifieke technische handelingen zoals echografie, punctie, biopsie, … Verstrekken van de nodige nazorg aan de patiënten, hen observeren en hun gezondheidstoestand controleren, detecteren van eventuele moeilijkheden en anticiperen op crisissituaties. Verstrekken van uitleg aan de patiënten en hun naasten over de opvolging van de raadpleging, hen informeren en hen op vraag van de arts naar andere medisch-technische afdelingen verwijzen. Uitvoeren van de logistieke taken voor en na de uitvoering van medisch-technische onderzoeken of behandelingen, zoals het klaarmaken van het lokaal voor de geplande onderzoeken of behandelingen, instrumenten klaarleggen, reinigen en desinfecteren van het materiaal na elk onderzoek en het lokaal opruimen, ervoor zorgen dat het te steriliseren materiaal naar de sterilisatieafdeling gaat. Verzamelen, evalueren en registreren van de gegevens van de patiënten om het onderzoek en gebruikte materiaal te kunnen factureren. Uitvoeren van het klein onderhoud van het materiaal, apparaten en producten en uitvoeren van de kwaliteitscontroles om de precisie van de gegevens te verbeteren en de veiligheid van de patiënten te waarborgen. Functieprofiel Je bent bachelor of gegradueerde in de Verpleegkunde. Je hebt kennis van de medisch-technische processen en de protocollen van onderzoeken en behandelingen of je vindt het een uitdaging om je hierin te verdiepen. Je bent leergierig en ziet het als een kans om vertrouwd te raken met de werking van de polikliniek en om voortdurend bij te leren in je job. Je bent bereid om administratieve taken op te nemen (maken van vervolgafspraken, bijhouden databank). Je kan met de specifieke informaticatoepassingen werken. Kennis van KWS is een meerwaarde of bent hierin een vlotte leerling. Je beschikt over een grote portie aan inlevingsvermogen. Je bent open, respectvol en integer en klantvriendelijkheid zit in je DNA. Je kan georganiseerd en accuraat handelen en daarbij je zaken terdege afwerken. Je kan je, zeker mondeling, vlot in het Nederlands en Frans uitdrukken. Je fungeert als voorbeeld voor kwaliteitsgerichtheid en professionaliteit. Je zoekt actief naar mogelijkheden voor het vergroten van de eigen deskundigheid en verdere professionele en persoonlijke ontwikkeling. Wij bieden je Een contract van onbepaalde duur. Of opname in de werfreserve. Een deeltijdse betrekking van 30 uur per week. Een flexibele inzet op de perifere campussen Diksmuide en Poperinge, met Poperinge als jouw hoofdlocatie of prioritaire campus. Een wisselend uurrooster in de week met shiften tussen 7u30 en 19u. Een werkregime zonder weekendwerk. Verloning volgens IFIC 14 of 14b (code 6177). Verlofregeling: 24 verlofdagen voor een voltijdse tewerkstelling (pro rata jobtime). On-the-job inwerking. Tal van voordelen zoals fietsleasing, gratis griepvaccin, hospitalisatieverzekering, kortingen via Benefits@work, Bringme box en een betaalbaar personeelsrestaurant. Tussenkomst woon-werkverkeer (o.a. fietsvergoeding). Kinderopvang in de vakantieperiodes. Jobtype Bediende Contracttype Onbepaalde duur Werkregime Deeltijds Solliciteren kan tot 10/08/2025 Meer Info Via Magali Vilain, adjunct-hoofdverpleegkundige: 057 35 72 57. Justine Wybaillie, verpleegkundige-diensthoofd: 057 35 70 65. Veel succes! Solliciteer hier online Jan Yperman Ziekenhuis Briekestraat 12 8900 Ieper 057 35 35 35 info@yperman.net Ondernemingsnummer: BE 0462.915.078 Rechtspersonenregister (RPR) Gent, afdeling Ieper Alle campussen

Role: Data Scientist Experience : 8year+ Location : Ahmedabad /Hyderabad We are seeking a Data Scientist to develop and implement advanced predictive models and optimization solutions. The ideal candidate will have expertise in predictive modelling, integer programming, Python development, and cloud-based data processing. This role will involve working with large datasets, solving complex and managing cloud infrastructure for scalable solutions. Key Responsibilities: Develop and implement models using statistical methods (e.g., Bayesian models). Solve optimization problems such as bin packing, TSP, and clustering using integer programming. Develop Python-based solutions using Git/Poetry for code and library management. Work with data processing libraries such as Pandas, Polars, and others. Deploy and manage data pipelines on Databricks and Azure Blob Storage. Monitor and troubleshoot pipelines, logs, and cloud resources. Implement DevOps best practices (nice-to-have) for automation and CI/CD workflows. Utilize Power Apps/Power Automate for workflow automation and business process improvement. Ensure cloud cost optimization and performance tuning for scalable architectures. Required Skills & Qualifications: Strong experience in predictive modeling and statistical techniques (Bayesian modeling preferred). Hands-on experience with integer programming and clustering methods. Proficiency in Python, including experience with Git/Poetry for code and dependency management. Expertise in data processing libraries such as Pandas, Polars, or equivalent. Familiarity with Azure cloud services, Databricks, and Azure Blob Storage. Ability to read and analyze logs for debugging and performance monitoring. Experience with cloud management and optimizing resources. Knowledge of monitoring pipelines and troubleshooting issues. Strong problem-solving skills and ability to work with large-scale datasets. Preferred Qualifications: Exposure to DevOps practices, including CI/CD pipelines and automation. Familiarity with Power Apps/Power Automate for process automation. Strong background in cloud cost management and performance tuning

Patiënt Bezoeker Professional Zorgaanbod Campussen Het Jan Yperman Ziekenhuis is met meer dan 1400 medewerkers, 140 artsen en 532 bedden modern, jong en dynamisch. Een ziekenhuis waar de patiënt in het streven naar de beste zorg centraal staat en zeer veel aandacht aan kwalitatief hoogstaande geneeskunde wordt besteed. Als vernieuwend ziekenhuis investeren we in een stimulerende werkomgeving en teamwerk. We reiken volop kansen aan voor persoonlijke en professionele groei, met de focus op continue ontwikkeling en opleiding. Word jij onze nieuwe apotheekassistent? Samen met artsen, apothekers, verpleegkundigen en vele andere collega’s draag je bij aan de best mogelijke zorg voor onze patiënten. We investeren volop in vernieuwing en automatisering. Dankzij twee geavanceerde robots voor de verdeling van geneesmiddelen zitten we helemaal op kruissnelheid wat technologie betreft. Binnenkort zetten we een volgende stap voorwaarts: we bouwen onze eigen cleanroom en houden hiermee de bereiding van geneesmiddelen zelf in handen. Met deze ambitieuze ontwikkeling willen we nog beter inspelen op de specifieke noden van onze patiënten en zetten we ons elke dag in om de hoogste kwaliteitsnormen te behalen. Om deze uitdaging waar te maken, zijn we op zoek naar een gedreven en geëngageerde collega die samen met ons wil bouwen aan dit vernieuwende project. Ons apotheekteam bestaat uit 9 ziekenhuisapothekers en 15 apotheekmedewerkers. Functie-inhoud Als apotheekassistent ben je voornamelijk verantwoordelijk voor de bereiding van geneesmiddelen, waaronder de steriele, cytostatica en magistrale bereidingen. Je zal eveneens een belangrijke rol spelen in de uitbouw van de nieuwe cleanroom. Je draagt met jouw inzet bij aan een veilige en efficiënte werkomgeving. Functieprofiel Je bent farmaceutisch technisch assistent. Ervaring met het bereiden van geneesmiddelen in een cleanroom biedt toegevoegde waarde, zonder dat dit daarom een must hoeft te zijn. Je kan met de specifieke informaticatoepassingen werken. Kennis van Word en Excel is een meerwaarde of je bent hierin een vlotte leerling. Je bent open, respectvol en integer en klantvriendelijkheid zit in je DNA. Je vindt vlot je weg in een dynamisch team. Je hebt geen problemen om de nodige flexibiliteit aan de dag te leggen. Je kan op georganiseerde en nauwgezette wijze je taken afwerken. Je fungeert als voorbeeld voor kwaliteitsgerichtheid en professionaliteit. Je zoekt actief naar mogelijkheden voor het vergroten van de eigen deskundigheid en verdere professionele en persoonlijke ontwikkeling. Wij bieden je Een contract van onbepaalde duur. Of opname in de werfreserve. Een voltijdse betrekking. Een wisselend uurrooster met shiften tussen 8u en 18u. Een werkregime met beperkt weekendwerk: 1 weekend per 3 maanden werken. Verloning volgens IFIC 11 (code 3072). Op termijn kan dit evolueren naar IFIC 13. Relevante toeslaguren. Verlofregeling: 24 verlofdagen voor een voltijdse tewerkstelling (pro rata jobtime). 40 uur werken in een 38 urenweekstelsel, wat in 12 extra compensatiedagen op jaarbasis resulteert. On-the-job inwerking: we voorzien een grondige opleiding en begeleiding zodat je stap voor stap kan groeien in je rol. Tal van voordelen zoals fietsleasing, gratis griepvaccin, hospitalisatieverzekering, kortingen via Benefits@work, Bringme box en een betaalbaar personeelsrestaurant. Woon-werkverkeer (fietsvergoeding). Kinderopvang in de vakantieperiodes. Een warm team met toffe collega’s die voor elkaar klaarstaan. Jobtype Bediende Contracttype Onbepaalde duur Werkregime Voltijds Solliciteren kan tot 03/08/2025 Meer Info Via Eveline Lauwers, apotheker-titularis: 057 35 65 52. Veel succes! Solliciteer hier online Jan Yperman Ziekenhuis Briekestraat 12 8900 Ieper 057 35 35 35 info@yperman.net Ondernemingsnummer: BE 0462.915.078 Rechtspersonenregister (RPR) Gent, afdeling Ieper Alle campussen

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: Senior AI Engineer (Tech Lead) Role Overview: We are seeking a highly skilled and experienced Senior AI Engineers with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Leading a team of 4-6 developers Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 4 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence Experience in leading a team of 4-6 developers Demonstrated ability to conceptualize technical solutions, apply accurate estimation techniques, and effectively engage with customer stakeholders In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with RESTful API design and development. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Understanding of agentic AI concepts and frameworks Proficiency in designing or interacting with agent-based AI architectures Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job Description Summary The role entails advanced software development for Power Systems Applications, with a focus on delivering specific functionalities to meet corporate project and product objectives. Responsibilities include collaborating with team working with Electric Utilities or Independent System Operators (ISOs) and Transmission and Distribution System Operators to develop functional software specifications, followed by designing, coding, testing, integration, application tuning, and delivery Job Description Roles and Responsibilities As a senior member of the Software Center of Excellence, exemplifying high-quality development, testing, and delivery practices. Responsible for enhancing, evolving, and supporting high-availability Electricity Energy Market Management System (MMS). Responsible for development, testing, integration, and tuning of advanced Power Systems Application software to fulfill project and product commitments. Develop and evolve software in a dynamic and agile environment using the latest technologies and infrastructure. Provide domain knowledge and/or technical leadership to a team of electricity markets application software engineers. Support in providing budget estimates for new project tasks to project leads and managers. Collaborate with customers throughout the project lifecycle to ensure software quality and functionality meet standards and requirements. Interact with Product Development Teams, Customers, Solution Providers, and cross-functional teams as needed. Apply SDLC principles and methodologies like Lean/Agile/XP, CI, software and product security, scalability, and testing techniques. Provide maintenance of power systems application functionality, including code fixes, creating tools for model conversion, documentation, and user interfaces. Support marketing efforts for proposals and demonstrations to potential customers. Basic Qualification Master’s degree in Electrical Power Systems with thesis or related work in power systems 5 to 8 years of experience in development or project delivery, preferably in Power Systems Analysis, Security Constrained Unit Commitment and Economic Dispatch using Mixed Integer Programming (MIP)/Optimization, or Applied Mathematics and Operations Research. Desired Characteristics Continuous improvement mindset; drives change initiatives and process improvements Highly organized and efficient; adept at prioritizing and executing tasks. Experience in the power systems domain. Proficiency in testing and test automation. Strong knowledge of source control management, particularly GitHub. Demonstrated ability to learn new development practices, languages, and tools. Self-motivated; able to synthesize information from diverse sources. Continuously measures the completion rate of personal deliverables and compares them to the scheduled commitments. Transparent in problem-solving approaches and options; determines fair outcomes with shared trade-offs. Capable of defining requirements and collaborating on solutions using technical expertise and a network of experts. Effective communication style for engaging with customers and cross-functional teams; utilizes product knowledge to mitigate risks and drive outcomes. Strong verbal, written, and interpersonal communication skills; able to produce professional and technical reports and conduct presentations. Innovates and integrates new processes or technologies to add significant value; advises on change cost versus benefits and learns new solutions to address complex problems Additional Information Relocation Assistance Provided: Yes

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: General Summary Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. We are hiring talented engineers for CPU RTL development targeted for high performance, low power devices. As a CPU Micro-architecture and RTL Design Engineer, you will work with chip architects to conceive of the micro-architecture, and also help with architecture/product definition through early involvement in the product life-cycle. Roles And Responsibilities Performance exploration. Explore high performance strategies working with the CPU modeling team. Microarchitecture development and specification. From early high-level architectural exploration, through micro architectural research and arriving at a detailed specification. RTL ownership. Development, assessment and refinement of RTL design to target power, performance, area and timing goals. Functional verification support. Help the design verification team execute on the functional verification strategy. Performance verification support. Help verify that the RTL design meets the performance goals. Design delivery. Work with multi-functional engineering team to implement and validate physical design on the aspects of timing, area, reliability, testability and po Preferred Qualifications Thorough knowledge of microprocessor architecture including expertise in one or more of the following areas: instruction fetch and decode, branch prediction, instruction scheduling and register renaming, out-of-order execution, integer and floating point execution, load/store execution, prefetching, cache and memory subsystems Knowledge of Verilog and/or VHDL. Experience with simulators and waveform debugging tools Knowledge of logic design principles along with timing and power implications Understanding of low power microarchitecture techniques Understanding of high performance techniques and trade-offs in a CPU microarchitecture Experience using a scripting language such as Perl or Python Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 8+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 7+ years of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 6+ years of Hardware Engineering or related work experience. Preferred Qualifications: Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. 15+ years of Hardware Engineering or related work experience. 4+ years of experience with circuit/logic design/validation (e.g., digital, analog, RF). 4+ years of experience utilizing schematic capture and circuit stimulation software. 4+ years of experience with hardware design and measurement instruments such as oscilloscopes, spectrum analyzers, RF tools, etc. 4+ years in a technical leadership role with or without direct reports. Principal Duties And Responsibilities: Leverages expert Hardware knowledge and experience to plan, optimize, verify, and test highly critical electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems. Drives the development of design rules and processes for electronic hardware, equipment, and/or integrated circuitry. Serves as an expert resource for conducting highly complex simulations and analyses of designs as well as for the implementation of designs with the best power, performance, and area. Collaborates with high-level representatives across functions (e.g., design, verification, validation, software and systems engineering, architecture development teams, etc.) to implement and drive new requirements and the latest test solutions in the production program to improve the yield, test time, and quality. Evaluates, characterizes, and develops the novel manufacturing solutions for leading edge products in highly advanced processes and bring-up product to meet customer expectations and schedules. Serves as an expert resource for the evaluation of reliability for highly critical materials, properties, and techniques and brings innovation, automation, and optimization to maximize productivity. Advises multiple teams of engineers in the development of complex hardware designs, evaluating various design features to identify potential flaws or issues. Writes detailed technical documentation for highly complex Hardware projects; reviews technical documentation for experienced engineers. Level Of Responsibility: Provides supervision to direct reports. Decision-making is critical in nature and highly impacts program, product, or project success. Requires verbal and written communication skills to convey highly complex and/or detailed information. May require strong negotiation and influence with large groups or high-level constituents. Works within the prescribed budgetary objectives of the department. Has a great degree of influence over key organizational decisions. Tasks often require multiple steps which can be performed in various orders; extensive planning, problem-solving, and prioritization must occur to complete the tasks effectively. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3069277

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: Senior AI Engineer (Tech Lead) Role Overview: We are seeking a highly skilled and experienced Senior AI Engineers with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Leading a team of 4-6 developers Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 4 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence Experience in leading a team of 4-6 developers Demonstrated ability to conceptualize technical solutions, apply accurate estimation techniques, and effectively engage with customer stakeholders In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with RESTful API design and development. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Understanding of agentic AI concepts and frameworks Proficiency in designing or interacting with agent-based AI architectures Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Job Description: Senior AI Engineer (Tech Lead) Role Overview: We are seeking a highly skilled and experienced Senior AI Engineers with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Leading a team of 4-6 developers Assist in the development and implementation of AI models and systems, leveraging techniques such as Large Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 4 years of experience in Python, Data Science, Machine Learning, OCR and document intelligence Experience in leading a team of 4-6 developers Demonstrated ability to conceptualize technical solutions, apply accurate estimation techniques, and effectively engage with customer stakeholders In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with RESTful API design and development. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Understanding of agentic AI concepts and frameworks Proficiency in designing or interacting with agent-based AI architectures Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems. Utilize optimization tools and techniques, including MIP (Mixed Integer Programming). Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Technology Expert, PCIe 7.0 & UCIe ( Senior Director level ) www.omnidesigntech.com Location: Bengaluru www.omnidesigntech.com Location- Bangalore About Omni Design Technologies Omni Design Technologies is a leading provider of high-performance, ultra-low power IP cores, from 28nm down through advanced FinFET nodes, which enable differentiated system-on-chip (SoC), in applications ranging from 5G, wireline and optical communications, LiDAR, radar, automotive networking, AI, image sensors, and the internet-of-things (IoT). Our data converter (ADC and DAC) IP cores range from 6-bit to 14-bit resolution and from a few MSPS to more than 100 GSPS sampling rates. Omni Design, founded in 2015 by semiconductor industry veterans, has an excellent track record of innovation and collaboration with customers to enable their success. The company is headquartered in Milpitas, California with additional design centers in Fort Collins-Colorado, Bangalore-India, Hyderabad-India, Dublin-Ireland, Boston-Massachusetts. Job Summary: Principal SerDes Technology Expert We are seeking a highly motivated and experienced Principal SerDes Technology Expert to lead the development of next-generation connectivity solutions. Your journey will begin by spearheading the design and optimization of high-performance Active Electrical Cables (AECs), enhancing electrical integrity and signal quality across demanding link budgets. Building on this foundation, you will architect and implement SerDes technology tailored for PCIe 7.0, tackling challenges such as lane equalization, jitter tolerance, and power efficiency. Finally, your work will expand into integrating cutting-edge optical interconnects and optocouplers, driving innovations in retimer technologies and hybrid signaling frameworks. This role directly impacts the performance and reliability of AI and cloud infrastructure—empowering massive data throughput, energy-efficient links, and scalable system architectures. Responsibilities: Lead the architecture and design of high-speed SerDes for PCIe 7.0, targeting data rates of 128 GT/s and beyond. Spearhead the development and integration of advanced optical interconnects and retimer solutions within our Smart Cable Modules™. Define and specify the requirements for mixed-signal SerDes PHYs, including transmitter (TX), receiver (RX), and clock and data recovery (CDR) circuits. Conduct in-depth analysis and simulation of high-speed channel performance, including signal integrity (SI) and power integrity (PI). Collaborate with cross-functional teams, including hardware design, firmware, and system validation, to ensure successful product development and bring-up. Stay at the forefront of industry standards and emerging technologies, particularly related to PCIe, CXL, and high-speed optical interconnects. Mentor junior engineers and provide technical leadership across the organization. Work closely with partners and vendors to evaluate and select key components. Qualifications: Required Qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field. 20-25 years years of experience in high-speed SerDes design and development. Proven expertise in PCIe protocols, with direct experience in PCIe 4.0/5.0/6.0 design and a strong understanding of the upcoming PCIe 7.0 specification. In-depth knowledge of mixed-signal design, including experience with PAM4 signaling, equalization techniques (e.g., FFE, DFE), and clocking architectures. Hands-on experience with high-speed test and measurement equipment (e.g., oscilloscopes, BERTs, VNAs). Strong understanding of signal integrity principles and experience with simulation tools (e.g., HSPICE, ADS, Ansys). Preferred Qualifications: Master's or Ph.D. in a relevant technical field. Experience with the design and integration of optical interconnects, silicon photonics, or high-speed optoelectronics. Familiarity with the design of retimers and their application in Active Electrical Cables. Experience with high-level modeling of SerDes links using tools like MATLAB or Python. Knowledge of other high-speed protocols such as Ethernet, CXL, or NVLink. A track record of leading complex projects from concept to production. Excellent communication and interpersonal skills. We are seeking a highly skilled and experienced IP Design Engineer to join our team, focusing on the design, development, and validation of cutting-edge high-speed interface Intellectual Property (IP). The ideal candidate will have a strong background in complex digital and mixed-signal design, with a particular emphasis on interfaces such as UCIe, Die-to-Die (D2D), and various memory PHYs (DDR/LPDDR). Expertise in advanced clocking architectures including PLLs and DLLs is also essential. This role involves contributing to the full IP development lifecycle, from architectural definition and RTL design to silicon validation and post-silicon support, ensuring first- pass silicon success for critical products that enable next-generation data center interconnects. Key Responsibilities: • Design & Development: Architect, design, and implement high-speed interface IPs, including UCIe, D2D, DDR, and LPDDR PHYs. Contribute to the development of high-speed SerDes IP transceivers supporting rates like 100G PAM4 (106.25 Gbps), 50G PAM4 (53.125 Gbps), and 25G NRZ (26.5625 Gbps) for applications such as PCIe, Ethernet, and data center interconnects. • Clocking Design: Develop and optimize PLL (Phase-Locked Loop) and DLL (Delay- Locked Loop) circuits for high-speed clock generation and synchronization, ensuring low jitter and high accuracy. This includes experience with Fractional/Spread-spectrum/Integer Frequency synthesizers, LC VCOs, Multi- Modulus Dividers, Charge Pumps, LPFs, LDO regulators, and BGRs. • IP Development Lifecycle: Participate in the complete IP design flow, including architectural definition, specification development, RTL coding, synthesis, static timing analysis (STA), and collaborating on physical design activities (GDSII). 1 • Verification & Validation: Work closely with verification teams to define test plans, debug complex design issues, and lead pre-silicon and post-silicon validation efforts, including silicon bring-up and characterization .2 Implement features for deep in-cable diagnostics (e.g., eye metric readout, PRBS bit error rate, loopback modes), fleet management, and security for robust interconnect solutions. • Analog/Mixed-Signal Integration: Collaborate on the integration of analog and mixed-signal blocks within the PHYs, addressing complex integration challenges and optimizing for performance, power, and area (PPA). • Documentation: Create comprehensive design specifications, integration guidelines, and application notes for IP blocks.• Problem Solving: Debug and resolve complex design issues at various stages of the development cycle, including silicon debugging and fault isolation. • Standards Compliance: Ensure IP designs comply with industry standards (e.g., JEDEC for DDR/LPDDR, QSFP-DD/OSFP mechanical and common management interface specifications) and customer requirements. • Performance Optimization: Focus on achieving low-latency data paths (< 100 ns) and optimizing for lower power consumption in high-speed interconnect solutions. Required Qualifications: • Bachelor's or Master's degree in Electrical Engineering, Electronics Engineering, or a related field.3 • 20-25 years of experience in digital, mixed-signal, or analog IP design within the semiconductor industry. (Adjust X based on Senior/Principal level). • Proven experience with high-speed interface designs such as UCIe, D2D, DDR PHY, or LPDDR PHY. • Demonstrated experience in the design and optimization of PLLs and/or DLLs, including various types of frequency synthesizers and clock generation circuits. • Familiarity with the entire IP development flow from architectural concept to silicon validation. • Strong understanding of signal integrity, power integrity, and layout considerations for high-speed designs, especially for PAM4 and NRZ signaling over copper cables. • Proficiency with industry-standard EDA tools for design, simulation, and analysis. • Experience with deep diagnostic features, security implementations (firmware security, unauthorized access prevention), and non-disruptive firmware updates for high-speed modules. • Excellent problem-solving skills and attention to detail. • Strong communication and collaboration skills to work effectively with cross- functional teams. Contact: Uday Mulya Technologies muday_bhaskar@yahoo.com "Mining The Knowledge Community"

Patiënt Bezoeker Professional Zorgaanbod Campussen Het Jan Yperman Ziekenhuis is met meer dan 1400 medewerkers, 140 artsen en 532 bedden modern, jong en dynamisch. Een ziekenhuis waar de patiënt in het streven naar de beste zorg centraal staat en zeer veel aandacht aan kwalitatief hoogstaande geneeskunde wordt besteed. Als vernieuwend ziekenhuis investeren we in een stimulerende werkomgeving en teamwerk. We reiken volop kansen aan voor persoonlijke en professionele groei, met de focus op continue ontwikkeling en opleiding. Samen sterk voor geriatrische topzorg Met jouw deskundigheid en toewijding leveren we elke dag opnieuw kwaliteitsvolle zorg aan een van de meest complexe patiëntengroepen. Onze patiënten hebben vaak zowel acute als chronische zorgbehoeften. Van pneumonie tot heupfractuur, van verwardheid tot cognitief goede patiënten. Als verpleegkundige ben je een onmisbare schakel. Je brengt patiënten samen met je team volledig in kaart en zet voortdurend verpleegkundige interventies in. Met jouw klinische blik ben je, samen met andere disciplines, de ogen en oren van de artsen. Je treedt op als vertegenwoordiger van de patiënt wanneer die dit zelf niet meer kan en begeleidt hen in het behouden van hun zelfstandigheid. Ook de mantelzorger betrek je actief bij de zorg. Wat de zorg voor geriatrische patiënten zo uniek maakt? We kijken niet alleen naar het medische probleem, maar ook naar de volledige context errond. Vaak zijn fysieke, psychische, functionele en sociale problemen met elkaar verweven. Dat vraagt inzicht, overleg en een sterk klinisch redeneervermogen. De afdeling telt 28 bedden. Je komt terecht in een geëngageerd team van 19 verpleeg- en zorgkundigen en een geriater. Ondersteund door logistiek assistenten, de dienst Patiëntenbegeleiding en paramedici. Samen zetten we alles op alles om onze visie om te zetten in warme, doeltreffende zorg. Voel jij je aangesproken om mee het verschil te maken? Dan kijken we ernaar uit om samen te werken! Functie-inhoud Als verpleegkundige op Acute Geriatrie 0 (G0) verleen je integrale zorg (verpleegkundig en psychosociaal) vanuit de individuele noden en vragen van de patiënten – meer specifiek, de kwetsbare oudere en zijn omgeving – om hun gezondheid en welzijn te behouden, te verbeteren of te herstellen en hun autonomie te bevorderen. Jouw Takenpakket Omvat Uitvoeren van verpleegtechnische handelingen volgens of zonder medisch voorschrift, evenals medische handelingen toevertrouwd door een arts. Observeren, identificeren en vaststellen van de gezondheidstoestand van de toegewezen patiënten: je detecteert eventuele veranderingen, anticipeert op crisissituaties en neemt in noodgevallen de nodige maatregelen op eigen initiatief, in afwachting van de arts. Toezicht houden op en evalueren van de parameters en, volgens voorschriften van de arts, de medische apparatuur aanpassen op basis van de evoluties. Voorbereiden, volgens het medisch voorschrift, van de medicatie, ze verifiëren, toedienen en de effecten ervan opvolgen. Assisteren van de arts bij bepaalde specifieke technische handelingen. Uitvoeren van verzorgende taken: je helpt – waar nodig – de patiënten bij de dagelijkse verzorging en –hygiëne, bewaakt het algemeen comfort, voert volgens interne procedures de lijkverzorging uit bij overlijden van de patiënt. Mee zorgdragen over de continuïteit en kwaliteit van de zorgverlening: je geeft de nodige informatie over de patiënten aan de collega’s door om de continuïteit van de verzorging te verzekeren, informeert de behandelende arts over hun gezondheidstoestand bij vermindering van de vitale functies. Informeren en ondersteunen van de patiënten en hun naasten: je verzorgt het onthaal van de nieuwe patiënten, voert een verpleegkundige anamnese uit en noteert de gegevens, geeft uitleg omtrent hun gezondheidstoestand en behandeling en stelt hen gerust, stimuleert de zelfredzaamheid en bereidt hen voor op het ontslag, begeleidt en ondersteunt hen in moeilijke emotionele momenten (zoals hevige pijn, stervensbegeleiding), onthaalt de naasten in het geval van overlijden van de patiënt en begeleidt hen op moreel vlak. Uitvoeren van administratieve patiëntgebonden taken: je registreert de gegevens en verstrekte verpleegkundige zorgen (bv. de VG-MZG), vult diverse formulieren en documenten in (bv. i.v.m. opname en ontslag, medische onderzoeken), rapporteert, zowel mondeling als schriftelijk, over de gezondheidstoestand, houdt het verpleegkundig dossier actueel. Waken over de correcte werking van technische apparatuur eigen aan de afdeling. Functieprofiel Je bent bachelor of gegradueerde in de Verpleegkunde. Je hebt praktische kennis van medische materialen en combineert je gedegen algemene beroepskennis met affiniteit voor geriatrische patiënten. Je kan met de specifieke informaticatoepassingen werken. Kennis van KWS is een meerwaarde of bent hierin een vlotte leerling. Je bent open, respectvol en integer en klantvriendelijkheid zit in je DNA. Je kan georganiseerd en accuraat handelen en daarbij je zaken terdege afwerken. Je fungeert als voorbeeld voor kwaliteitsgerichtheid en professionaliteit. Je zoekt actief naar mogelijkheden voor het vergroten van de eigen deskundigheid en verdere professionele en persoonlijke ontwikkeling. Wij bieden je Een contract van onbepaalde duur. Of opname in de werfreserve. Een halftijdse betrekking van 19 uur per week. Nachtdienst in een vast regime met shiften van 21u tot 07u. Weekendregeling op basis van de samenstelling van het team. Met als uitgangspunt: 1 weekend op 2 werken voor deel- en voltijdsen, 1 weekend op 4 voor halftijdsen. Verloning volgens IFIC 14 of 14b (code 6185). Verlofregeling: 11 nachten voor een voltijdse tewerkstelling (pro rata jobtime). On-the-job inwerking. Tal van voordelen zoals fietsleasing, gratis griepvaccin, hospitalisatieverzekering, kortingen via Benefits@work, Bringme box en een betaalbaar personeelsrestaurant. Tussenkomst woon-werkverkeer (o.a. fietsvergoeding). Kinderopvang in de vakantieperiodes. Jobtype Bediende Contracttype Onbepaalde duur Werkregime Halftijds Solliciteren kan tot 10/08/2025 Meer Info Via Chris Catry, verpleegkundige-diensthoofd: 057 35 70 42. Veel succes! Solliciteer hier online Jan Yperman Ziekenhuis Briekestraat 12 8900 Ieper 057 35 35 35 info@yperman.net Ondernemingsnummer: BE 0462.915.078 Rechtspersonenregister (RPR) Gent, afdeling Ieper Alle campussen

Patiënt Bezoeker Professional Zorgaanbod Campussen Het Jan Yperman Ziekenhuis is met meer dan 1400 medewerkers, 140 artsen en 532 bedden modern, jong en dynamisch. Een ziekenhuis waar de patiënt in het streven naar de beste zorg centraal staat en zeer veel aandacht aan kwalitatief hoogstaande geneeskunde wordt besteed. Als vernieuwend ziekenhuis investeren we in een stimulerende werkomgeving en teamwerk. We reiken volop kansen aan voor persoonlijke en professionele groei, met de focus op continue ontwikkeling en opleiding. Een gemiddelde werkdag op de afdeling Neurologie in het Jan Yperman Ziekenhuis? Die bestaat niet. Van spoedopnames op de Stroke Unit tot geplande zorg in het Slaaplabo: elke dag ziet is anders. Net die afwisseling maakt het werk boeiend. In deze rol combineer je vaktechnische expertise met aandacht voor de psychosociale zorg van je patiënten. Een mooie uitdaging met veel betekenis. Op de afdeling Neurologie ben jij als verpleegkundige een onmisbare schakel in de zorg voor patiënten met (complexe) neurologische aandoeningen. Je bewaakt hun vitale functies en voert gerichte neurologische controles uit. Dat doe je niet alleen met behulp van de monitor, maar vooral met jouw scherpe klinische blik. Je herkent tijdig afwijkingen, onderneemt zelfstandig de eerste noodzakelijke stappen en denkt mee met de artsen. Daarbij werk je nauw samen met collega’s van andere disciplines, zoals ergotherapeuten, kinesitherapeuten en de Spoedafdeling. Met jouw inlevingsvermogen en positieve houding weet je patiënten én hun naasten gerust te stellen. Je begeleidt hen ook bij psychosociale zorgen en in het nazorgtraject. Zo bied je niet alleen medische, wel ook plaatsvervangende en menselijke zorg van hoge kwaliteit. De afdeling Neurologie telt 27 bedden, waarvan 4 voor Stroke Unit, 4 voor slaaponderzoek en 3 posities voor dagziekenhuispatiënten. Op de Stroke Unit verblijven patiënten die onder andere door een beroerte zijn getroffen. De eerste 24 tot 48 uur worden ze gemonitord. Vervolgens gaan de patiënten door naar een gewone kamer op de afdeling om te revalideren. Wij zijn een gevarieerd en hecht team van 5 artsen en 23 verpleeg- en zorgkundigen. De sfeer op de afdeling is informeel en de samenwerking – ook met artsen en andere disciplines – is enorm goed. Innovatie en ontwikkeling staan bij ons voorop. We durven elkaar dan ook aan te spreken en nemen vaak als eerste aan verschillende pilootprojecten in het ziekenhuis deel. Functie-inhoud Als verpleegkundige Neurologie of afdeling D5 verleen je integrale zorg (verpleegkundig en psychosociaal) aan een toegewezen groep patiënten om hun gezondheid en welzijn te behouden, te verbeteren of te herstellen en hun autonomie te bevorderen. Jouw Takenpakket Omvat Uitvoeren van verpleegtechnische handelingen volgens of zonder medisch voorschrift, evenals medische handelingen toevertrouwd door een arts. Observeren, identificeren en vaststellen van de gezondheidstoestand van de toegewezen patiënten: je detecteert eventuele veranderingen, anticipeert op crisissituaties en neemt in noodgevallen de nodige maatregelen op eigen initiatief, in afwachting van de arts. Toezicht houden op en evalueren van de parameters en, volgens voorschriften van de arts, de medische apparatuur aanpassen op basis van de evoluties. Voorbereiden, volgens het medisch voorschrift, van de medicatie, ze verifiëren, toedienen en de effecten ervan opvolgen. Assisteren van de arts bij bepaalde specifieke technische handelingen. Uitvoeren van verzorgende taken: je helpt – waar nodig – de patiënten bij de dagelijkse verzorging en –hygiëne, voert volgens interne procedures de lijkverzorging uit bij overlijden van de patiënt. Mee zorgdragen over de continuïteit en kwaliteit van de zorgverlening: je geeft de nodige informatie over de patiënten aan de collega’s door om de continuïteit van de verzorging te verzekeren, informeert de behandelende arts over hun gezondheidstoestand bij vermindering van de vitale functies.. Informeren en ondersteunen van de patiënten en hun naasten: je verzorgt het onthaal van de nieuwe patiënten, voert een verpleegkundige anamnese uit en noteert de gegevens, geeft uitleg omtrent hun gezondheidstoestand en behandeling en stelt hen gerust, stimuleert de zelfredzaamheid en bereidt hen voor op het ontslag, begeleidt en ondersteunt hen in moeilijke emotionele momenten (zoals hevige pijn, stervensbegeleiding), onthaalt de naasten in het geval van overlijden van de patiënt en begeleidt hen op moreel vlak. Uitvoeren van administratieve patiëntgebonden taken: je registreert de gegevens en verstrekte verpleegkundige zorgen (bv. de VG-MZG), vult diverse formulieren en documenten in (bv. i.v.m. opname en ontslag, medische onderzoeken), rapporteert, zowel mondeling als schriftelijk, over de gezondheidstoestand, houdt het verpleegkundig dossier actueel. Waken over de correcte werking van technische apparatuur eigen aan de afdeling. Functieprofiel Je bent bachelor of gegradueerde in de Verpleegkunde. Je hebt praktische kennis van medische materialen en combineert je gedegen algemene beroepskennis met affiniteit voor neurologiepatiënten. Je kan met de specifieke informaticatoepassingen werken. Kennis van KWS is een meerwaarde of bent hierin een vlotte leerling. Je bent open, respectvol en integer en klantvriendelijkheid zit in je DNA. Je kan georganiseerd en accuraat handelen en daarbij je zaken terdege afwerken. Je fungeert als voorbeeld voor kwaliteitsgerichtheid en professionaliteit. Je zoekt actief naar mogelijkheden voor het vergroten van de eigen deskundigheid en verdere professionele en persoonlijke ontwikkeling. Wij bieden je Een contract van onbepaalde duur. Of opname in de werfreserve. Een halftijdse betrekking van 19 uur per week. Nachtdienst in een vast regime met shiften van 21u tot 07u. Weekendregeling op basis van de samenstelling van het team. Met als uitgangspunt: 1 weekend op 2 werken voor deel- en voltijdsen, 1 weekend op 4 voor halftijdsen. Verloning volgens IFIC 14 of 14b (code 6170). Verlofregeling: 11 nachten voor een voltijdse tewerkstelling (pro rata jobtime). On-the-job inwerking. Tal van voordelen zoals fietsleasing, gratis griepvaccin, hospitalisatieverzekering, kortingen via Benefits@work, Bringme box en een betaalbaar personeelsrestaurant. Tussenkomst woon-werkverkeer (o.a. fietsvergoeding). Kinderopvang in de vakantieperiodes. Jobtype Bediende Contracttype Onbepaalde duur Werkregime Halftijds Solliciteren kan tot 10/08/2025 Meer Info Via Chris Catry, verpleegkundige-diensthoofd: 057 35 70 42. Veel succes! Solliciteer hier online Jan Yperman Ziekenhuis Briekestraat 12 8900 Ieper 057 35 35 35 info@yperman.net Ondernemingsnummer: BE 0462.915.078 Rechtspersonenregister (RPR) Gent, afdeling Ieper Alle campussen

India Foods Business is a full-service manufacturing and marketing unit comprising over 500 employees spread across over multiple locations across India. Our strong suite of products includes the Pillsbury, Betty Crocker, Haagen-Dazs and Nature Valley brands in both direct-to-consumer and B2B channels across Retail, Food Service and Bakeries & Exports. We combine the capabilities of a global enterprise with the entrepreneurial spirit and cultural awareness you would expect of a smaller local company. Position Title Sr. Analyst – SC Adv Analytics, OU Function/Group Logistics Location Mumbai Shift Timing 1:30 PM to 10:30 PM Role Reports to Assistant Manager Remote/Hybrid/in-Office Hybrid About General Mills We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we’ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell. How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out http://www.generalmills.com General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people. With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out https://www.generalmills.co.in We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow. Job Overview Function Overview The GIC Supply Chain team manages end-to-end operations, encompassing planning, sourcing, manufacturing, logistics, and analytics. They strategically plan to meet market demands, optimize sourcing, ensure efficient production, and oversee the seamless movement of goods from production to delivery. The team employs advanced analytics throughout these processes, fostering adaptability and operational excellence. This collaborative approach ensures a well-coordinated supply chain that aligns with both organizational goals and dynamic market conditions. Link Purpose of the role Supply chain analytics group is responsible for delivering the solutions and developing the capabilities which enables better decision-making in supply chain. This team works closely with all supply chain functions (i.e., plan, source, make, deliver and customer service teams), business units and other cross functional partners for developing solutions to drive business value. This team also drives step-change innovation and improvements in business practices by delivering actionable insights through advanced analytics and supply chain expertise. The role involves building, maintaining, and executing optimization and simulation models to help identify, analyze, and implement opportunities in the areas of manufacturing network design and optimization, supply network planning and realignment by incorporating supply chain costs, manufacturing complexity, inventory optimization and capacity. The Sr Analyst supports the Supply Planning teams in identifying opportunities for manufacturing & distribution network and provides least cost sourcing and distribution options. Works on strategic projects and new capability development and enhancement initiatives. Key Accountabilities 15% - Requirement Gathering & Data Collection: Understand Project charter- Business context, Scope, Outcome & success criteria. Collaborate with the Global & India Supply Chain partners to gather the required information and conduct the data validations & analysis. Proactively analyze the current set of the data based on facts and root cause analysis. Perform data massaging – Outlier detection and handle missing data etc. and share key findings with the team lead. 40% Model building & Scenario Evaluation Solve business problems in the areas of Supply Chain by developing different modeling approaches/techniques using Descriptive/Prescriptive/Predictive analytics and recommend the best approach. Develop a detailed solution design/architecture or re-engineer an existing solution design. Build/Refresh the models periodically and provide recommendations to business teams. Run & analyze what-if scenarios by leveraging advanced tools and provide insights to the business team. 20% Model result analysis & presentation Detailed and quantitative analysis of the model output and clearly articulate findings and recommendations Synthesize large data sets/model results into usable insights and business recommendations Build presentation and communicate the results effectively with the broad audience of clients/stakeholders/cross-functional teams. Provides analytics support during the implementation and transition phase. 15% Other Responsibilities: Improving Participate in brainstorming sessions on new capabilities development/ideation sessions Work on enhancements in current capabilities/process improvements Support new technologies by participating in testing sessions & training sessions Sustaining Develop and design governance framework Ensure strong and clear process/training/project documentation and controls are in force Creating assumption documents for client meetings/methodology documents Participating in weekly directional meetings, team meetings & townhalls 10% Self-Development: Upskilling through internal & external training/courses, in behavioral, functional, analytical & technology areas Participating in innovation challenges, Hackathon competitions, Knowledge sharing sessions Participating in training sessions at the team/departmental level Participating in internal case studies to acquire business acumen Specific Job Experience Or Skills Needed End to End Supply Chain Knowledge Critical thinking with strong analytical and problem-solving skills Ability to formulate mathematical model & techniques Either of Technical know- how of optimization – Linear/Integer/MILP programming Technical know- how of Statistics – Distributions/ Hypothesis Testing/ Measures of Central tendency/ Regression/ Risk Analysis Technical know- how of prediction – Machine learning, various types of regression, classification and clustering techniques, time series, tree- based prediction models Technical know-how of Simulation – Discrete event simulation/Monte Carlo Understand business problems and convert into analytical problem statements Experience with model building in either of these tools Coupa Supply Chain Guru, R/Python, VBA/Macros, SQL, Solvers like CPLEX/Gurobi, etc., Simulation tools like @risk, MATLAB, etc., Machine Learning techniques/models Effective & Strong Communication Skills Storytelling with effective presentation Stakeholder Management Innovative Mindset & Learning Mindset Nice to have experience in front end application development - Rest APIs, Dash, R shiny. Competencies/Behaviors Required For Job Deliver outstanding results – Agile and self-driven individual to learn/adapt the analytics ways of working. Highly accountable to complete deliverable in a timely and effective manner. Proactive communication about any roadblock and recommend ideas and input to help team achieve greater result. Interpersonal Effectiveness – Relates well with stakeholders, colleagues & team members. Maintains a positive, supportive & appreciative attitude. Actively listens to others & demonstrates an understanding of their point of view. Clearly articulates views in written & verbal discussions. Problem Solving / Analytical skills – Ability to collect and analyze data quickly and efficiently. Can identify issues and provide ideas/solutions for resolution. Leads Innovation – Ability and confidence to identify and recommend creative solutions. Identifies both opportunities and needs for change. Adapts quickly and responds effectively to change. Identifies issues or problems and provides a respective solution. Explores and shares innovative best practices with others. Minimum Qualifications Minimum Degree Requirements: Bachelors Preferred Degree Requirements: Masters (M. Tech/MBA/MSC) Preferred Major Area of Study: Supply Chain / Operations Research / Industrial Engineering / Statistics / Mathematics / Mechanical Engineering / Computer Engineering / Electronics Engineering / Instrumentation Engineering/ Production Engineering Required Professional Certifications Preferred Professional Certifications: APICS, CSCP, CPIM Analytics, Six Sigma, SC Macro Masters or similar accreditation Preferred Institutes : IITs/NITs/ Tier 1 or 2 MBA Colleges/reputed University Preferred Qualifications Master’s degree 3 years of related experience Major Area of Study in Industrial Engineering or Supply Chain Professional Certifications: CSCMP, APICS Company Overview We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.

Patiënt Bezoeker Professional Zorgaanbod Campussen Het Jan Yperman Ziekenhuis is met meer dan 1400 medewerkers, 140 artsen en 532 bedden modern, jong en dynamisch. Een ziekenhuis waar de patiënt in het streven naar de beste zorg centraal staat en zeer veel aandacht aan kwalitatief hoogstaande geneeskunde wordt besteed. Als vernieuwend ziekenhuis investeren we in een stimulerende werkomgeving en teamwerk. We reiken volop kansen aan voor persoonlijke en professionele groei, met de focus op continue ontwikkeling en opleiding. Een gemiddelde werkdag op de afdeling Neurologie in het Jan Yperman Ziekenhuis? Die bestaat niet. Van spoedopnames op de Stroke Unit tot geplande zorg in het Slaaplabo: elke dag is anders. Net die afwisseling maakt het werk boeiend. In deze rol combineer je vaktechnische expertise met aandacht voor de psychosociale zorg van je patiënten. Een mooie uitdaging met veel betekenis. Op de afdeling Neurologie ben jij als verpleegkundige een onmisbare schakel in de zorg voor patiënten met (complexe) neurologische aandoeningen. Je bewaakt hun vitale functies en voert gerichte neurologische controles uit. Dat doe je niet alleen met behulp van de monitor, maar vooral met jouw scherpe klinische blik. Je herkent tijdig afwijkingen, onderneemt zelfstandig de eerste noodzakelijke stappen en denkt mee met de artsen. Daarbij werk je nauw samen met collega’s van andere disciplines, zoals ergotherapeuten, kinesitherapeuten en de Spoedafdeling. Met jouw inlevingsvermogen en positieve houding weet je patiënten én hun naasten gerust te stellen. Je begeleidt hen ook bij psychosociale zorgen en in het nazorgtraject. Zo bied je niet alleen medische, wel ook plaatsvervangende en menselijke zorg van hoge kwaliteit. De afdeling Neurologie telt 27 bedden, waarvan 4 voor de Stroke Unit, 4 bedden voor slaaponderzoek en 3 posities voor dagziekenhuispatiënten. Op de Stroke Unit verblijven patiënten die onder andere door een beroerte zijn getroffen. De eerste 24 tot 48 uur worden ze gemonitord. Vervolgens gaan de patiënten door naar de gewone kamer op de afdeling om te revalideren. Wij zijn een gevarieerd en hecht team van 5 artsen en 23 verpleeg- en zorgkundigen. De sfeer op de afdeling is informeel en de samenwerking – ook met artsen en andere disciplines – is enorm goed. Innovatie en ontwikkeling staan bij ons voorop. We durven elkaar dan ook aan te spreken en nemen vaak als eerste aan verschillende pilootprojecten in het ziekenhuis deel. Functie-inhoud Als verpleegkundige Neurologie of afdeling D5 verleen je integrale zorg (verpleegkundig en psychosociaal) aan een toegewezen groep patiënten om hun gezondheid en welzijn te behouden, te verbeteren of te herstellen en hun autonomie te bevorderen. Jouw Takenpakket Omvat Uitvoeren van verpleegtechnische handelingen volgens of zonder medisch voorschrift, evenals medische handelingen toevertrouwd door een arts. Observeren, identificeren en vaststellen van de gezondheidstoestand van de toegewezen patiënten: je detecteert eventuele veranderingen, anticipeert op crisissituaties en neemt in noodgevallen de nodige maatregelen op eigen initiatief, in afwachting van de arts. Toezicht houden op en evalueren van de parameters en, volgens voorschriften van de arts, de medische apparatuur aanpassen op basis van de evoluties. Voorbereiden, volgens het medisch voorschrift, van de medicatie, ze verifiëren, toedienen en de effecten ervan opvolgen. Assisteren van de arts bij bepaalde specifieke technische handelingen. Informeren van de arts bij de patiëntenronde en bij vragen de betrokkenen contacteren. Uitvoeren van verzorgende taken: je helpt – waar nodig – de patiënten bij de dagelijkse lichaamsverzorging en –hygiëne (aankleden, wassen en scheren), bewaakt het algemeen comfort, helpt bij het eten en drinken, begeleidt hen bij transfers naar andere diensten, geeft aanwijzingen en instructies aan zorgkundigen, voert volgens interne procedures de lijkverzorging uit bij overlijden van de patiënt. Mee zorgdragen over de continuïteit en kwaliteit van de zorgverlening: je geeft de nodige informatie over de patiënten aan de collega’s door om de continuïteit van de verzorging te verzekeren, informeert de behandelende arts over hun gezondheidstoestand en overlegt met de arts en therapeuten rond de aangewezen behandeling, past gemaakte afspraken van multidisciplinaire vergaderingen toe. Informeren en ondersteunen van de patiënten en hun naasten: je verzorgt het onthaal van de nieuwe patiënten, voert een verpleegkundige anamnese uit en noteert de gegevens, geeft uitleg omtrent hun gezondheidstoestand en behandeling en stelt hen gerust, stimuleert de zelfredzaamheid en bereidt hen voor op het ontslag, begeleidt en ondersteunt hen in moeilijke emotionele momenten (zoals hevige pijn, stervensbegeleiding), onthaalt de naasten in het geval van overlijden van de patiënt en begeleidt hen op moreel vlak. Uitvoeren van administratieve patiëntgebonden taken: je registreert de gegevens en verstrekte verpleegkundige zorgen (bv. de VG-MZG), vult diverse formulieren en documenten in (bv. i.v.m. opname en ontslag, medische onderzoeken), rapporteert, zowel mondeling als schriftelijk, over de gezondheidstoestand, houdt het verpleegkundig dossier actueel. Helpen bij de uitvoering van de huishoudelijke taken. Waken over de correcte werking van technische apparatuur eigen aan de afdeling. Functieprofiel Je bent bachelor of gegradueerde in de Verpleegkunde. Je hebt praktische kennis van medische materialen. Je combineert je gedegen algemene beroepskennis met affiniteit voor neurologiepatiënten. Kennis van KWS is een meerwaarde of je bent hierin een vlotte leerling. Je bent open, respectvol en integer en klantvriendelijkheid zit in je DNA. Je hebt er geen problemen mee om de nodige flexibiliteit aan de dag te leggen. Je kan georganiseerd en accuraat handelen en daarbij je zaken terdege afwerken. Je fungeert als voorbeeld voor kwaliteitsgerichtheid en professionaliteit. Je zoekt actief naar mogelijkheden voor het vergroten van de eigen deskundigheid en verdere professionele en persoonlijke ontwikkeling. Wij bieden je Een contract van onbepaalde duur. Of opname in de werfreserve. Een deeltijdse betrekking van 28,5 uur per week. Een wisselend uurrooster met shiften tussen 6u30 en 21u30. 1 weekend op 2 werken. Verloning volgens IFIC 14 of 14b (code 6184). Verlofregeling: 24 verlofdagen voor een voltijdse tewerkstelling (pro rata jobtime). On-the-job inwerking. Tal van voordelen zoals fietsleasing, gratis griepvaccin, hospitalisatieverzekering, kortingen via Benefits@work, Bringme box en een betaalbaar personeelsrestaurant. Tussenkomst woon-werkverkeer (o.a. fietsvergoeding). Kinderopvang in de vakantieperiodes. Jobtype Bediende Contracttype Onbepaalde duur Werkregime Deeltijds Solliciteren kan tot 03/08/2025 Meer Info Via Chris Catry, verpleegkundige-diensthoofd: 057 35 70 42. Veel succes! Solliciteer hier online Jan Yperman Ziekenhuis Briekestraat 12 8900 Ieper 057 35 35 35 info@yperman.net Ondernemingsnummer: BE 0462.915.078 Rechtspersonenregister (RPR) Gent, afdeling Ieper Alle campussen

Requisition ID: 8238 Bangalore, India Our mission at Enphase Energy is to advance a sustainable future for all. Today, our intelligent microinverters, which turn sunlight into an affordable, safe, reliable, and scalable source of energy, work with virtually every solar panel made, and when paired with our award-winning smart battery technology, we engineer one of the industry's best-performing clean energy systems. To date, we have installed more than 48 million microinverters on more than 2.5 million systems across 140 countries and well over 50 thousand homes use our energy storage products. Like our customers, our innovative teams are also worldwide, making Enphase Energy a truly global company. We are one of the fastest growing and most dynamic energy companies in the world. Nimble and acutely focused on developing ground-breaking solar energy management technology, each of our teams has a shared goal of creating a carbon-free future. Do you want to help change the world? Learn more about the role: For our Customer Experience team, we seek Hands-On Staff Data Scientist who can work on designing & implementing high quality scalable optimization-based applications and platforms, while providing technical leadership and mentoring to a small team of talented developers in agile environment. Your ability to take ownership of architecture, design, and implementation of maintainable, high-quality, and high-performing Machine Learning systems and Optimization applications is essential for success in this role. Provide hands-on technical expertise to design, engineer, deploy, and deliver highly scalable optimization-based applications. Drive improvements in technical architecture, standards, and processes. Drive engineering excellence while managing/mentoring talented team of developers in agile environment. Work closely with product management and other stakeholders for system design and delivery. Job Description: As an Optimization and AI/ML Expert, you will be responsible for developing and implementing advanced machine learning models, optimization algorithms, and analytical tools. You will leverage your expertise to solve complex business problems by using data-driven approaches and predictive modelling techniques. The ideal candidate will have a strong background in AI/ML, optimization, Electrical Engineering domain and applied mathematics, with a passion for designing efficient solutions to tackle large-scale, real-world challenges. Responsibilities: Optimization & AI/ML Model Development : Design, develop, and implement AI/ML models and optimization algorithms to address business challenges and improve decision-making. Data Analysis & Feature Engineering : Work with large datasets to preprocess, analyze, and engineer features for model development. Ensure data quality and integrity. Performance Improvement : Apply optimization techniques (e.g., linear programming, constraint programming, heuristic algorithms) to optimize business operations, resource allocation, and other key processes. Collaboration & Problem-Solving : Collaborate with cross-functional teams, including data engineers, business analysts, and domain experts, to identify problems and translate them into solvable AI/ML models. Research & Innovation : Stay updated on the latest trends in optimization, machine learning, and AI research. Evaluate and apply emerging technologies and techniques to enhance system performance. Model Evaluation & Tuning : Conduct model evaluation using appropriate metrics, tune hyperparameters, and ensure that models perform optimally in production environments. Documentation & Reporting : Document the methodology, processes, and results of AI/ML projects. Communicate findings to stakeholders and contribute to technical reports or presentations. Deployment & Monitoring : Work with engineering teams to deploy AI/ML models into production. Monitor model performance and provide ongoing support for scalability and robustness. Required Skills & Qualifications: Experience : 5-10 years of experience in Electrical engineering with specialization in AI/ML, optimization, and data science with a proven track record of applying these skills to real-world business challenges. Strong Analytical Skills : Expertise in quantitative analysis, applied mathematics, and optimization algorithms (e.g., integer programming, dynamic programming, convex optimization). Proficiency in Programming : Strong programming skills in Python, R, and/or MATLAB. Experience with libraries like TensorFlow, PyTorch, Scikit-learn, or similar. Machine Learning Expertise : Deep understanding of supervised and unsupervised learning, reinforcement learning, and model validation techniques. Familiarity with deep learning and neural networks is a plus. Optimization Knowledge : Solid knowledge of optimization techniques for solving complex resource allocation, scheduling, or routing problems. Data Handling & Analysis : Experience with big data technologies (Hadoop, Spark), data preprocessing, and feature engineering techniques. Problem-Solving Mindset : Ability to translate business problems into mathematical models and find creative solutions. Communication Skills : Strong written and verbal communication skills to effectively convey technical concepts to non-technical stakeholders. Advanced Degree : A Master's or Ph.D. in Computer Science, Mathematics, Engineering, Operations Research, or a related field is highly desirable. Preferred Qualifications: Experience in the deployment and scaling of AI/ML models in production environments. Knowledge of cloud platforms such as AWS, Google Cloud, or Azure. Familiarity with optimization software/tools like Gurobi, CPLEX, or other commercial solvers. Experience with reinforcement learning and optimization in dynamic or uncertain environments.

Job Description Summary The role entails advanced software development for Power Systems Applications, with a focus on delivering specific functionalities to meet corporate project and product objectives. Responsibilities include collaborating with team working with Electric Utilities or Independent System Operators (ISOs) and Transmission and Distribution System Operators to develop functional software specifications, followed by designing, coding, testing, integration, application tuning, and delivery. Job Description Roles and Responsibilities As a senior member of the Software Center of Excellence, exemplifying high-quality design, development, testing, and delivery practices. Responsible for enhancing, evolving, and supporting high-availability Electricity Energy Market Management System (MMS). Lead the design, development, testing, integration, and tuning of advanced Power Systems Application software to fulfill project and product commitments. Develop and evolve software in a dynamic and agile environment using the latest technologies and infrastructure. Provide domain knowledge and/or technical leadership to a team of electricity markets application software engineers. Provide budget estimates for new project tasks to project leads and managers. Collaborate with customers throughout the project lifecycle to ensure software quality and functionality meet standards and requirements. Mentor junior team members. Interact with Product Development Teams, Customers, Solution Providers, and cross-functional teams as needed. Apply SDLC principles and methodologies like Lean/Agile/XP, CI, software and product security, scalability, and testing techniques. Provide maintenance of power systems application functionality, including code fixes, creating tools for model conversion, documentation, and user interfaces. Support marketing efforts for proposals and demonstrations to potential customers. Basic Qualification Ph. D. or Master’s degree in Electrical Power Systems with thesis or related work in power systems 8 to 11 years of experience in development or project delivery, preferably in Power Systems Analysis, Security Constrained Unit Commitment and Economic Dispatch using Mixed Integer Programming (MIP)/Optimization, or Applied Mathematics and Operations Research. Desired Characteristics Continuous improvement mindset; drives change initiatives and process improvements Highly organized and efficient; adept at prioritizing and executing tasks. Experience in the power systems domain. Proficiency in testing and test automation. Strong knowledge of source control management, particularly GitHub. Demonstrated ability to learn new development practices, languages, and tools. Self-motivated; able to synthesize information from diverse sources. Mentors newer team members in alignment with business objectives Continuously measures the completion rate of personal deliverables and compares them to the scheduled commitments. Transparent in problem-solving approaches and options; determines fair outcomes with shared trade-offs. Capable of defining requirements and collaborating on solutions using technical expertise and a network of experts. Effective communication style for engaging with customers and cross-functional teams; utilizes product knowledge to mitigate risks and drive outcomes. Strong verbal, written, and interpersonal communication skills; able to produce professional and technical reports and conduct presentations. Innovates and integrates new processes or technologies to add significant value; advises on change cost versus benefits and learns new solutions to address complex problems Additional Information Relocation Assistance Provided: Yes

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Years of Experience: Candidates with 4+ years of hands on experience Position: Senior Associate Required Skills: Successful candidates will have demonstrated the following skills and characteristics: Must Have Proven expertise in supply chain analytics across domains such as demand forecasting, inventory optimization, logistics, segmentation, and network design Well versed and hands-on experience of working on optimization methods like linear programming, mixed integer programming, scheduling optimization. Having understanding of working on third party optimization solvers like Gurobi will be an added advantage Proficiency in forecasting techniques (e.g., Holt-Winters, ARIMA, ARIMAX, SARIMA, SARIMAX, FBProphet, NBeats) and machine learning techniques (supervised and unsupervised) Strong command of statistical modeling, testing, and inference Proficient in using GCP tools: BigQuery, Vertex AI, Dataflow, Looker Building data pipelines and models for forecasting, optimization, and scenario planning Strong SQL and Python programming skills; experience deploying models in GCP environment Knowledge of orchestration tools like Cloud Composer (Airflow) Nice To Have Familiarity with MLOps, containerization (Docker, Kubernetes), and orchestration tools (e.g., Cloud composer) Strong communication and stakeholder engagement skills at the executive level Roles And Responsibilities Assist analytics projects within the supply chain domain, driving design, development, and delivery of data science solutions Develop and execute on project & analysis plans under the guidance of Project Manager Interact with and advise consultants/clients in US as a subject matter expert to formalize data sources to be used, datasets to be acquired, data & use case clarifications that are needed to get a strong hold on data and the business problem to be solved Drive and Conduct analysis using advanced analytics tools and coach the junior team members Implement necessary quality control measures in place to ensure the deliverable integrity like data quality, model robustness, and explainability for deployments. Validate analysis outcomes, recommendations with all stakeholders including the client team Build storylines and make presentations to the client team and/or PwC project leadership team Contribute to the knowledge and firm building activities Professional And Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA from reputed institute

We are seeking a Data Science & Optimization Engineer to develop and implement advanced predictive models and optimization solutions. The ideal candidate will have expertise in predictive modeling, integer programming, Python development, and cloud-based data processing. This role will involve working with large datasets, solving complex optimization problems (e.g., bin packing, TSP), and managing cloud infrastructure for scalable solutions. Key Responsibilities: Develop and implement predictive models using statistical methods (e.g., Bayesian models). Solve optimization problems such as bin packing, TSP, and clustering using integer programming. Utilize Gurobi (nice-to-have) or similar solvers for advanced optimization techniques. Develop Python-based solutions using Git/Poetry for code and library management. Work with data processing libraries such as Pandas, Polars, and others. Deploy and manage data pipelines on Databricks and Azure Blob Storage. Monitor and troubleshoot pipelines, logs, and cloud resources. Implement DevOps best practices (nice-to-have) for automation and CI/CD workflows. Utilize Power Apps/Power Automate for workflow automation and business process improvement. Ensure cloud cost optimization and performance tuning for scalable architectures. Required Skills & Qualifications: Strong experience in predictive modeling and statistical techniques (Bayesian modeling preferred). Hands-on experience with integer programming and clustering methods. Proficiency in Python, including experience with Git/Poetry for code and dependency management. Expertise in data processing libraries such as Pandas, Polars, or equivalent. Familiarity with Azure cloud services, Databricks, and Azure Blob Storage. Ability to read and analyze logs for debugging and performance monitoring. Experience with cloud management and optimizing resources. Knowledge of monitoring pipelines and troubleshooting issues. Strong problem-solving skills and ability to work with large-scale datasets. Preferred Qualifications: Experience with Gurobi or other mathematical optimization solvers. Exposure to DevOps practices, including CI/CD pipelines and automation. Familiarity with Power Apps/Power Automate for process automation. Strong background in cloud cost management and performance tuning

Kenvue is currently recruiting for a: Senior Business Analyst, Data Science What we do At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® that you already know and love. Science is our passion; care is our talent. Who We Are Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. Role reports to: Director Location: Asia Pacific, India, Karnataka, Bangalore Work Location: Hybrid What you will do About Kenvue: Kenvue is the world’s largest pure-play consumer health company by revenue. Built on more than a century of heritage, our iconic brands, including Aveeno®, Johnson’s®, Listerine®, and Neutrogena® are science-backed and recommended by healthcare professionals around the world. At Kenvue, we believe in the extraordinary power of everyday care and our teams work every day to put that power in consumers’ hands and earn a place in their hearts and homes. Kenvue is currently recruiting for: Senior Business Analyst, Data Science, Digital Transformation Office This position reports to Senior Data Science Manager and is based at Bangalore. Role reports to: Senior Data Science Manager Location: Bangalore Travel %: 10% What you will do: The Senior Business Analyst, Data Science will work to deliver Optimization solution to cross-functional Supply Chain teams. This individual will work with cross-functional subject matter experts (SMEs) to deeply understand business context and key business questions / opportunities, as well as collaborate with other teams (e.g., Digital Capability teams, Data Engineering, Data Quality, Data Management & Governance, ML Ops) to ensure delivery of scalable data science solutions. The ideal candidate for this role will demonstrate a combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of the project and excellent written and communications skills to report back the findings in a clear, structured manner Key Responsibilities: Mathematical Modeling and Optimization: Develop, refine and review mathematical models to represent supply chain systems, including inventory management, production planning, transportation logistics, and distribution networks. Apply advanced optimization techniques, such as linear programming, integer programming, network flow, simulation, and heuristic algorithms, to solve complex supply chain problems Conduct sensitivity analysis, scenario modeling, and risk assessment to evaluate the impact of various factors on supply chain performance. Collaborate with stakeholders to understand business objectives, constraints, and requirements, and translate them into mathematical models and optimization problems. Data Analysis and Insights: Analyze large datasets, extract relevant information, and identify patterns and trends to support decision-making processes. Collaborate with data scientists and business analysts to gather and preprocess data from various sources, ensuring data accuracy and integrity. Generate actionable insights and recommendations based on data analysis to optimize supply chain operations, reduce costs, and improve customer service levels. Solution Deployment: Present findings, insights, and recommendations in a clear and concise manner. Make solution recommendations that appropriately balance speed to market and analytical soundness Work with internal stakeholders like Data Engineers, Data Scientist, Business Analyst, Project Manager to ensure that product is tested and deployed on time. Research and Innovation: Stay updated with the latest developments in operations research, supply chain management, and optimization techniques. Conduct research and explore innovative approaches to address supply chain challenges and drive continuous improvement. What we are looking for: Master in Industrial Engineering, Operations Research or Management Science or related field with 3+ years of total work experience in Supply Chain Optimization Proficiency in mathematical modeling and optimization techniques, such as linear programming, integer programming, network flow, simulation, and heuristic algorithms. Strong programming skills in languages such as Python, R, or MATLAB, with experience in optimization libraries (e.g., Gurobi,FICO, CPLEX) and data manipulation tools (e.g., pandas, NumPy). Experience with data analysis, statistical modeling, and visualization using tools like SQL, Tableau, or Power BI. Knowledge of supply chain concepts, including demand forecasting, inventory management, production planning, transportation logistics, and distribution networks. If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.