225 Integer Jobs

About The Position Aqua Security enables enterprises to secure their container-based and cloud-native applications from development to production, accelerating container adoption and bridging the gap between DevOps and IT security. We are building a state-of-the-art security platform for large enterprises in the exciting and innovative new field of software containers. Our systems are deployed on thousands of customer servers around the world. A distributed system to watch over distributed systems! We are looking for a talented Software Engineer to join our server team, in charge of developing Aqua's management console - a multi-component system with many responsibilities, performing various background jobs and large-scale data processing; supplying REST APIs, a web based UI and more. In this role, you will take part in further development of our management console, writing features across the entire application stack: SQL queries, business logic, background processes, REST APIs and web-based user interfaces. At Aqua, you will not be writing code for in-house applications. You will be writing code for large technology companies, banks, government agencies and multi-national chains. Our product is composed of multiple components, mostly installed on-premise in our customer's cloud environments, but also has SaaS components, plugins for various CI/CD systems and many more. Almost everything runs inside containers. It is written in Go - an exciting new language from Google, and heavily depends on free software/open source components. Our web UI is currently written in VueJS. We are primarily a Linux company, but our software also supports Windows and Mac. Working from Aqua Hyderabad office a minimum of 4 days per week (Mon-Thu) Requirements: Track record of delivering various features in large-scale applications or core systems with 9+ years of experience. . Experience writing multi-component systems or micro-services, with architectures requiring efficient inter-application communication. Experience writing in a high-level language such as Go, C++, Java etc .. If you're already writing Go, or spent a weekend debugging the worse memory leak ever, that's a big plus. Experience in writing code with vue.js and typescript. Experience writing APIs (either RESTful or not) and RPCs. If you've broken backwards compatibility for your customers once, and dealt with the fallout, we want you (to deal with the fallout again). Experience with RDBMS systems (e.g. MySQL, PostgreSQL, Oracle, SQLite) and/or NoSQL databases (e.g. MongoDB, Redis, Cassandra, Couchbase). If you've written queries with more than two joins, or have a strong opinion of why an integer is better as a primary key (or maybe a UUID), we'd like to hear from you. Experience with any one of the Cloud providers such as AWS is a must Experience in provisioning infrastructure using IaC tools like Terraform/CloudFormation is a plus Experience In cloud Development such as Serverless - Lambda functions – SNS, SQS, EC2, S3 bucket (Must) Linux experience - Must Experience with Docker is must. Kubernetes and OpenShift is a plus. If you can name one way in which a container is different than a regular process, you're golden. Aqua Security is the pioneer in cloud native security. Founded in 2015, Aqua Security is a global late-stage scale-up and the largest pure play cloud native vendor. Aqua helps enterprises see and stop threats across every phase of the software development lifecycle, from dev to cloud and back. If you’re ready for an exciting opportunity to dive into the hottest cybersecurity category, now is the perfect time to join Aqua! We are a global organization where every Aquarian can make a difference and make a big impact. Aqua also offers great company culture, amazing colleagues, international travel, and lots more! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Company Profile : That's My Craft interior designing studio operating since 2016. We specialised in providing comprehensive turnkey solutions for a wide range of integer design projects. With a close-knit team we strictly work with fresh philosophy every time. Responsibilities : The key responsibilities area of interior designer :- 1. 3D Modelling & visualisation : Assisting in creating 3D models and visualisation to help team better understand design concept. 2. Cad Drawing : Creating detailed CAD drawing and Technical documentation for design plans 3. Space Planning : Assisting on space layout, furniture arrangements and ensuring optimal space utilisation. 4. Project Documentation : Maintaining project files, documentation and ensuring designs specifications are accurately recorded. 5. Contribution to design discussions : Problem solving and understanding how to balance aesthetics and functionality. 6. Learning and Growth : Gains skills related to software, designing process, execution process with the help of senior designer and mentor. 7. Collaboration and Teamwork : Actively participating in team meeting sessions and contributing to the overall success of the design project. 8. Time Management : Complete assigned task and projects within define timeline provided by Senior designer. Qualifications: • Minimum experience of 6 months in interior designing industry. Preferred Qualifications: • Education: Bachelor’s degree in Interior Design, Architecture, Graphic Design, or a related field. • Experience: Minimum 2 years of experience. • Fresher can also apply How to Apply: Send your resume & portfolio( showcasing relevant 3D visualization work, including examples of interior renderings and video walkthroughs) at hr@thatsmycraft.com or contact on this number +91 9023333832.

Position Title Data Scientist II Function/Group Digital & Technology Location Mumbai India Shift Timing 11 AM – 8 PM Role Reports to Manager Data Science 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 Digital and Technology team at General Mills stands as the largest and foremost unit, dedicated to exploring the latest trends and innovations in technology while leading the adoption of cutting-edge technologies across the organization. Collaborating closely with global business teams, the focus is on understanding business models and identifying opportunities to leverage technology for increased efficiency and disruption. The team's expertise spans a wide range of areas, including AI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, Blockchain, SAP S4 HANA and Enterprise Architecture. The MillsWorks initiative embodies an agile@scale delivery model, where business and technology teams operate cohesively in pods with a unified mission to deliver value for the company. Employees working on significant technology projects are recognized as Digital Transformation change agents. The team places a strong emphasis on service partnerships and employee engagement with a commitment to advancing equity and supporting communities. In fostering an inclusive culture, the team values individuals passionate about learning and growing with technology, exemplified by the "Work with Heart" philosophy, emphasizing results over facetime. Those intrigued by the prospect of contributing to the digital transformation journey of a Fortune 500 company are encouraged to explore more details about the function through the following Link Purpose of the role General Mills, Digital and Technology India, is seeking a Data ScientistII to join the Data Science team in the Enterprise Data Capabilities function. Data Scientists within our team are dedicated to build enterprise intelligent automations and enable ML solutions on various use cases including but not limited to demand forecasting, text classification, operational analytics, optimization, price optimization, logistics, ecommerce, and market mix modelling. They are also responsible for curating a community of practice to determine the best standards and practices around data science at General Mills. Key Accountabilities Deliver on business problems: Partners with business stakeholders to deliver value add insights and intelligent solutions through ML and AI. Develops AI solutions leveraging the best practices and enables maintainability and scalability. Collaborates with ML engineers and systems engineers to ensure the models are deployed in a scaled and optimized way. Additionally ensure support the post-production to ensure model performance degrades are proactively managed. Expected to be an expert in the business domain spaces to understand and interact with the business stakeholders. Recognizes opportunities to apply external industry trends and implements them within role. Consultation Lead Interactions with stakeholders to learn on problem statement and drive results. Be an advocate for data science team. Constructively challenge the other data scientists on approach Contribute to best practices as we evaluate new platforms, tools and pipelines. Stakeholder Management Manage the assigned priorities, assigned tasks and consistency of execution. Develop trust and credibility with business leaders. Closely collaborates with the stakeholders on projects and data science leaders to ensure practices are developed and enhanced to support accelerated analytic development and maintainability. Collaboration Works on problems of diverse scope. Demonstrates good judgment in selecting methods and techniques. Networks with senior internal and external personnel in own area of expertise. Lead research work to new analytic trends aligned to business. Demonstrates learning agility and ability to apply to work. Leverage and contribute to new open-source innovation. Minimum Qualifications Minimum qualification- bachelor’s degree (full time) Total analytics experience required 6-9 Years. Bachelor’s or Master degree in computer science/Statistics/Applied Mathematics/Operations research/Industrial engineering from Tier 1 institute. 3+ yrs in a supply chain analytics with strong understanding of supply chain operations inventory management, manufacturing, and distribution Proven implementation of ML and AI practices Expertise in supervised ML algorithms, Proficiency in FMCG/CPG domain along with experience on cyber security fundamentals is a plus. Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups. Bachelor’s degree in computer science/Statistics/Applied Mathematics from Tier 1 institute. Must - Have Technical Skills And Experience (Expertise in at least one among section1 and/or section2) Section1-Operations Research(Optimization and simulation) Experienced in constructing and solving Linear, Mixed integer, Constraint and non linear programming and discrete event simulation problems Must have hands on experience in solving enterprise level optimization problems and knows how to optimize run time and memory utilization while solving large scale problem. Should be comfortable in designing own heuristic algorithms or implementing any known heuristic approach. Have worked in areas like network optimization, cutting stock, knapsack kind of problems, monte carlo and discrete event simulation Must have worked in at least a couple of major commercial/open source OR tools and software like python, Google OR tools , IBM Ilog Cplex, Gurobi, AIMMS, FICO express etc Section-2- AI/ML Expertise in supervised ML algorithms, regression, decision trees, ensemble models, time series, forecasting, neural networks, OLS regression, naive bayes approach, linear attribution model, time decay model, markov chains along with linear optimization and performance tuning Proven implementation of ML and AI practices Exposure to unsupervised learning and NLP Technical concepts and platforms- MLOps, Containerization, Data Lineage and Visualization. Proficiency on Cloud Platform( GCP preferable), SQL, Python and R

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.

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.

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.

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.

Patiënt Bezoeker Professional Zorgaanbod Campussen Het Jan Yperman Ziekenhuis is met meer dan 1400 medewerkers, 160 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. Cardiologie is het medisch specialisme dat zich richt op het opsporen, onderzoeken en behandelen van hartziekten, zoals hartfalen, pijn op de borst en hartritmestoornissen. Een hartinfarct kan zowel lichamelijke als psychische gevolgen hebben, waarbij goede zorg en opvolging essentieel zijn. Endocrinologie houdt zich bezig met hormonen en de organen die ze produceren. Hormonen beïnvloeden via het bloed onder meer de stofwisseling, bloeddruk, water- en zouthuishouding, vruchtbaarheid, slaap-waakritme, botopbouw en het lichaamsgewicht. Vaak gaat het om hormonen van de schildklier, bijnieren, alvleesklier, geslachtsorganen en de hypofyse. Pneumologie behandelt aandoeningen aan de luchtwegen, longen, longvliezen en ademhalingsregulatie. Het aantal mensen met longaandoeningen neemt toe, onder andere door de vergrijzing. Op onze afdeling is niet alleen de behandeling belangrijk, maar ook de onderzoeken en de nazorg. Patiënten worden daarbij uitgebreid geïnformeerd, zodat zij goed weten wat hen te wachten staat. Onze medewerkers van afdeling D1 zijn hiervoor speciaal opgeleid. De afdeling telt 30 bedden en bestaat uit een team van 14 artsen en 20 verpleeg- en zorgkundigen. Samen werken zij nauw samen met diëtisten, ergo- en kinesitherapeuten, maatschappelijk werkers en psychologen. Heb jij interesse om dit team te versterken? Functie-inhoud Als verpleegkundige afdeling Cardio-, Pneumo- en Endocrinologie 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 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 van deze parameters. Voorbereiden, volgens het medisch voorschrift, van de medicatie, ze verifiëren, toedienen en de effecten ervan opvolgen. Assisteren van de arts bij de uitvoering van bepaalde technische handelingen. Begeleiden 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), waakt over 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 het overlijden van de patiënt. Mee zorgdragen over de continuïteit en kwaliteit van de zorgverlening: je geeft de nodige informatie over de patiënten door om de continuïteit van de verzorging te verzekeren, informeert de behandelende arts over de gezondheidstoestand van de patiënten en voert overleg met de arts en therapeuten rond de aangewezen behandeling, past de 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 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). Uitvoeren van administratieve patiëntgebonden taken: je registreert de gegevens en uitgevoerde verpleegkundige handelingen (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 en combineert je gedegen algemene beroepskennis met affiniteit voor de patiënten doelgroep. 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 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 deel- tot voltijdse betrekking. Een wisselend uurrooster met shiften tussen 6u30 en 21u30. 1 weekend op 2 werken. Sporadisch en volgens noodwendigheid kan een nachtdienst, met shift van 21u tot 7u, aan bod komen. Verloning volgens IFIC 14 of 14b (code 6170). Verlofregeling: 24 verlofdagen voor een voltijdse tewerkstelling (pro rata jobtime). Ingeval van voltijds: 40 uur werken in een 38 urenweekstelsel, wat in 12 extra compensatiedagen op jaarbasis resulteert. 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 Voltijds, Deeltijds Solliciteren kan tot 28/09/2025 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, 160 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. Zijn onze patiënten bij jou in goede handen? Met jouw deskundigheid en inzet zorgen we samen voor topzorg aan een boeiende en diverse patiëntengroep. In ons ziekenhuis zijn heel wat specialismen vertegenwoordigd. Voor Inwendige Ziekten (Interne Geneeskunde) (D-afdelingen) gaat het om vier verpleegafdelingen: 1) Cardio-, Pneumo- en Endocrinologie, 2) Nefrologie, 3) Gastro-, Entero- en Oncologie en 4) Neurologie. Daarnaast omvat Geriatrie (G-afdelingen) drie verpleegafdelingen Acute Geriatrie. Als zorgkundige ondersteun je onze verpleegkundigen bij de verzorging van patiënten en neem je huishoudelijke taken op. Zo help je patiënten bijvoorbeeld bij het wassen of aan- en uitkleden, ruim je op en deel je maaltijden uit. Daarmee ben je een grote hulp voor de verpleegkundigen en verlicht je hun werk. Omdat je als zorgkundige vaak dicht bij de patiënt staat, heb je veel contact en bied je een luisterend oor. Je geeft mensen de aandacht die ze nodig hebben en je bent de ogen en oren van de artsen en verpleegkundigen. Goede zorg is altijd teamwerk. Daarom werk je nauw samen met verpleegkundigen, artsen, paramedici én familieleden van patiënten. Samen bereik je meer en zo speel je als zorgkundige een cruciale rol in de zorg voor patiënten. Klinkt dit als iets voor jou? Functie-inhoud Als zorgkundige ondersteun je verpleegkundigen bij het verlenen van integrale zorg (verzorgend, verpleegkundig en psychosociaal) aan een toegewezen groep patiënten, om hun gezondheid en welzijn te behouden, te verbeteren of te herstellen. Jouw Takenpakket Omvat Uitvoeren van gedelegeerde verpleegkundige handelingen: binnen de toegestane wetgevende bepalingen en binnen een gestructureerd team. Opvolgen van vitale en biologische parameters: volgens de richtlijnen van verpleegkundigen en hen de resultaten bezorgen. Observeren van de symptomen en fysieke, psychische en sociale reacties van de patiënten en deze met de verpleegkundigen en de hiërarchisch verantwoordelijke bespreken. De patiënten helpen bij het eten en drinken. De patiënten helpen bij de dagelijkse lichaamsverzorging en –hygiëne (bv. aankleden, wassen, scheren, uitvoeren mondverzorging). Waken over het algemeen comfort van de patiënten. Vergezellen van de patiënten bij transfers naar andere diensten of bij specifieke onderzoeken. Bezorgen van het nodige materiaal aan de patiënten: volgens de medische en verpleegkundige richtlijnen (bv. alternerende matras). Doorgeven van de nodige informatie over de patiënten op teamvergaderingen om de continuïteit van de verzorging te verzekeren en rapporteren van de bevindingen aan de verpleegkundigen. Begeleiden van de patiënten voor en tijdens de behandelingen en onderzoeken, hen uitleg geven en geruststellen. Begeleiden en ondersteunen van de patiënten in moeilijke of emotionele momenten (zoals einde-levenszorg, hevige pijn). Noteren van de verbeteringen of moeilijkheden, die de patiënt tijdens de uitvoering van de verzorging ondervindt, in het verpleegdossier. Functieprofiel Je bent in het bezit van het visum van zorgkundige. Indien jouw registratie van vóór 1 september 2019 dateert, dien je een bijkomende opleiding van 150u in vijf extra handelingen te hebben voltooid. Of je plant deze opleiding te volgen. Relevante werkervaring in een ziekenhuiscontext biedt toegevoegde waarde. In het leren kennen van de procedures en het functioneren van de verpleegeenheid zie je een uitdaging. Je bezit luistervaardigheden en geeft informatie uit de gevoerde gesprekken, met patiënten en hun naasten, door aan de verpleegkundigen. Je kan met de specifieke informaticatoepassingen werken. Voorkennis van KWS is geen vereiste, wel een meerwaarde. Of je bent hierin een vlotte leerling. Je bent open, respectvol en integer en klantvriendelijkheid zit in je DNA. Je hebt geen problemen om de nodige flexibiliteit aan de dag te leggen. Je kan georganiseerd, accuraat en daarbij je zaken terdege afwerken. Je fungeert als voorbeeld voor kwaliteitsgerichtheid en professionaliteit. Wij bieden je Een contract van onbepaalde duur. Of opname in de werfreserve. Een half- tot deeltijdse betrekking van maximum 30,4 uur per week. Een wisselend uurrooster met shiften tussen 6u30 en 21u30. Zowel in een regime van 6 als van 8 uur. 1 weekend op 2 werken. Een werkregime zonder nachtdienst. Verloning volgens IFIC 11 (code 6172). 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, Halftijds Solliciteren kan tot 28/09/2025 Meer Info Via Chris Catry, verpleegkundige-diensthoofd, tel. 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

Company profile : That's My Craft interior designing studio operating since 2016. We specialised in providing comprehensive turnkey solutions for a wide range of integer design projects. With a close-knit team we strictly work with fresh philosophy every time. Responsibilities: ● Inbound Calls: Manage client inquiries, provide service information, and coordinate with internal teams. ● Recruitment: Post job openings, screen resumes, schedule interviews, and maintain a talent database. ● Admin Tasks: Oversee daily office operations and prepare management reports. Qualifications: ● Bachelor’s degree in Business Administration or related field. ● 1-2 years’ experience is preferred (freshers with strong communication skills are welcome). ● Strong organizational and multitasking skills. ● Proficiency in MS Office and CRM tools. ● Proficiency in English, Hindi, and Gujarati is mandatory for speaking. What We Offer: ● Creative and collaborative work environment. ● Growth opportunities and performance-based incentives. How to Apply: Send your resume & portfolio( showcasing relevant 3D visualization work, including examples of interior renderings and video walkthroughs) at or contact on this number +91 9023333832 . Job Types: Full-time, Permanent, Fresher Pay: ₹15,000.00 - ₹25,000.00 per month Benefits: Paid time off Ability to commute/relocate: Gota, Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Required) Language: English , Gujarati , Hindi (Required) Work Location: In person

Company profile : That's My Craft interior designing studio operating since 2016. We specialised in providing comprehensive turnkey solutions for a wide range of integer design projects. With a close-knit team we strictly work with fresh philosophy every time. Responsibilities: ● Inbound Calls: Manage client inquiries, provide service information, and coordinate with internal teams. ● Recruitment: Post job openings, screen resumes, schedule interviews, and maintain a talent database. ● Admin Tasks: Oversee daily office operations and prepare management reports. Qualifications: ● Bachelor’s degree in Business Administration or related field. ● 1-2 years’ experience is preferred (freshers with strong communication skills are welcome). ● Strong organizational and multitasking skills. ● Proficiency in MS Office and CRM tools. ● Proficiency in English, Hindi, and Gujarati is mandatory for speaking. What We Offer: ● Creative and collaborative work environment. ● Growth opportunities and performance-based incentives. How to Apply: Send your resume & portfolio( showcasing relevant 3D visualization work, including examples of interior renderings and video walkthroughs) at or contact on this number +91 9023333832 . Job Types: Full-time, Permanent, Fresher Pay: ₹15,000.00 - ₹25,000.00 per month Benefits: Paid time off Ability to commute/relocate: Gota, Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Required) Language: English , Gujarati , Hindi (Required) Work Location: In person

Patiënt Bezoeker Professional Zorgaanbod Campussen Het Jan Yperman Ziekenhuis is met meer dan 1400 medewerkers, 160 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 bouwen aan geestelijke gezondheidszorg voor jong en oud. Zowel op de PAAZ-afdeling als binnen Twoape@Ieper, de kinder- en jeugdpsychiatrische afdeling (k-dienst), zetten we volop in op de versterking van de geestelijke gezondheidszorg. Twoape@Ieper is een dagbehandelingscentrum voor kinderen en jongeren tussen 7 en 14 jaar die vastlopen in hun ontwikkeling en voor wie ambulante hulp niet volstaat. Deze werking is ontstaan uit een samenwerking tussen AZ Delta Roeselare, Kliniek Sint-Jozef Pittem, Integrale Jeugdhulp, WINGG (West-Vlaams Integrerend Netwerk Geestelijke Gezondheid) en het Jan Yperman Ziekenhuis. Twoape@Ieper biedt plaats aan 12 kinderen en jongeren en wordt gedragen door een multidisciplinair team van 1 psychiater, 3 psychologen, 10 groepsbegeleiders (psychiatrisch verpleegkundigen, orthopedagogen en ergotherapeuten) en 4 leerkrachten. Binnen de Eerstelijnspsychologische Zorg (ELP) bieden we snel toegankelijke hulp aan mensen met lichte tot matige psychische klachten. Het gaat om een kort ambulant traject, binnen een beperkt aantal sessies, waarmee we kinderen en jongeren ondersteunen. Dit gebeurt via een netwerk van eerstelijnspsychologen dat klaarstaat om de juiste begeleiding te bieden. Kom je bij ons werken? Dan word je met open armen verwelkomd in dit betrokken team dat elke dag het verschil maakt voor jonge mensen in kwetsbare situaties. Functie-inhoud Als kinderpsycholoog bied je kortdurende of meer gespecialiseerde psychologische interventies die bijdragen tot het algemeen psychisch welbevinden van het kind of jongere. Je hebt ervaring met het werken met kinderen en/of jongeren. Jouw Takenpakket Omvat Vaststellen van de nood aan psychologische begeleiding door inschatting van de aanwezige problemen en vraagverheldering. Informeren van de persoon met een zorgbehoefte en zijn context over de aanpak en mogelijkheden van de psychologische tussenkomst. Bieden van informatie, advies en psycho-educatie. Organiseren van individuele, groeps-, of familiale psychotherapiesessie en speltherapie. Zowel in ons ziekenhuis als andere ‘vindplaatsen’ binnen het Netwerk. Begeleiden van de persoon met een zorgbehoefte en opvolgen van de psychologische behandeling (aandachtspunten, vorderingen, …). Er aanpassingen voor voorstellen. Ondersteunen van de eerstelijnsactoren rond het kind of jongere. Bieden van gespecialiseerde zorg en/of doorverwijzen naar andere zorg- en ondersteuningsorganisaties en/of patiënten- en familieverenigingen. Actief deelnemen aan de overlegmomenten. Functieprofiel Je bent master in de Klinische Psychologie. Je vertrouwd zijn met kinderpsychologie biedt toegevoegde waarde. Het genoten hebben van een erkende psychotherapeutische opleiding: psychodynamische kinder- en jeugdpsychotherapie, systeem- of gedragstherapeutisch, kunnen we alleen maar aanbevelen. Het bezitten van een goede kennis van de ontwikkelingspsychologie en psychodiagnostiek bij kinderen is een pluspunt. Je bent in staat de zorgnoden bij kinderen te bepalen. Je combineert je gedegen algemene beroepskennis met affiniteit voor kinderen en jongeren en het mentale welbevinden van de specifieke patiëntenpopulatie. Je kan duidelijk en objectief in groep communiceren en het eigen standpunt verdedigen. 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 kan je, zeker mondeling, vlot in het 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. Je bent bereid in een beurtrol voor wachtdienst “psychosociale begeleiding” te stappen en woont hierbij in een straal van 40km van het ziekenhuis. Wij bieden je Een tijdelijk contract in het kader van een vervanging tot eind augustus 2026. Met mogelijkheid tot verlenging. Of opname in de werfreserve. Een deeltijdse, van 30,4 uur per week, tot voltijdse betrekking. Een uurrooster in de week met shiften met glijtijden die zich ’s morgens tussen 7u30 en 9u en bij het afronden tussen 16u en 17u30 situeren. Een werkregime zonder weekendwerk. Verloning volgens IFIC 16 (code 5070). Verlofregeling: 24 verlofdagen voor een voltijdse tewerkstelling (pro rata jobtime). Ingeval van voltijds: 40 uur werken in een 38 urenweekstelsel, wat in 12 extra compensatiedagen op jaarbasis resulteert. 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, Bepaalde duur Werkregime Voltijds, Deeltijds Solliciteren kan tot 28/09/2025 Meer Info Via Katherine Tetaert, dienstverantwoordelijke Psychologische Dienst: 057 35 67 23. Dennis Jacques, diensthoofd Dienst Patiëntenbegeleiding: 057 35 70 41. 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

Summary De verkoopvertegenwoordiger is een belangrijke drijvende kracht achter onze klantinteracties en verkoopprestaties. Ze zijn het gezicht van onze benadering van klantervaring en bouwen diepgaande relaties op die waarde opleveren voor klanten en patiënten om de omzetgroei op een conforme en ethische manier te stimuleren About the Role Major Accountabilities ~ Stimuleer concurrerende omzetgroei ~ Identificeer en prioriteer klanten met een hoog potentieel door middel van data-analyse (HCP's en belanghebbenden) die van invloed zijn op receptbeslissingen ~ Stimuleer verkoopprestaties door de bekwame orkestratie van positieve klantervaringen ~ Betrek en bouw relaties op ~ Neem deel aan op waarde gebaseerde gesprekken (persoonlijk en virtueel) om inzicht te krijgen in kritieke uitdagingen van klanten, beslissingsfactoren, pijnpunten en kansen ~ Personaliseer en orkestreer customer engagement journeys voor beoogde HCP's door de voorkeuren van de klant weer te geven, gebruik te maken van beschikbare content en meerdere engagementkanalen ~ Bouw betrokkenheid op door samen te werken met HCP's om in de loop van de tijd een duurzame samenwerking voor Novartis te ontwikkelen ~ Lever gedenkwaardige, klantgerichte ervaringen die verder gaan dan klinische differentiatie door te luisteren naar hun behoeften en hun zorgomgeving te begrijpen ~ Bouw effectieve werkrelaties op met opinieleiders en medische topbeïnvloeders (op territoriumniveau) en daag huidig gedrag uit om de reis van de patiënt te verbeteren (juiste patiënt, juiste tijd) ~ Ontwikkel diepgaande klantinzichten en -inzichten ~ Verzamel inzichten in het bedrijf van de klant om te ontdekken wat voor hen belangrijk is ~ Volg feedback van klanten op en vertaal reacties naar acties die extra waarde creëren en verwachtingen overtreffen ~ Maak gebruik van beschikbare gegevensbronnen om relevante gebieds-, account- en klantinteractieplannen te maken, dynamisch te prioriteren en aan te passen ~ Klantinzichten doorlopend delen met relevante interne stakeholders ter ondersteuning van de ontwikkeling van product- en indicatiegerelateerde content, campagnes en interactieplannen ~ Waarde leveren aan klanten en patiënten ~ Werk conform de regels samen met cross-functionele teams om oplossingen te ontwerpen en te implementeren die tegemoetkomen aan onvervulde behoeften van klanten en patiënten ~ Fungeren als een vertrouwde partner voor de klant om hen te helpen bij het runnen van hun bedrijf; luisteren om te leren; ernaar streven de relatie op een conforme en ethische manier te verdiepen; zich positioneren om oplossingen met toegevoegde waarde te creëren. ~ Handel integer en eerlijk door klanten en collega's op een transparante en respectvolle manier te behandelen met een duidelijke bedoeling. Als je voor ethische dilemma's staat, doe dan het juiste en spreek je uit als dingen niet goed lijken. Leef volgens de Novartis-code voor ethiek en waarden en gedragingen. Key Performance Indicators De verkoopvertegenwoordiger is een belangrijke drijvende kracht achter onze klantinteracties en verkoopprestaties. Ze zijn het gezicht van onze benadering van klantervaring en bouwen diepgaande relaties op die waarde opleveren voor klanten en patiënten om de omzetgroei op een conforme en ethische manier te stimuleren Work Experience ~NA Skills ~Vaardigheden verkopen ~Inzichten van klanten ~Communicatieve vaardigheden ~Beïnvloedingsvaardigheden ~Conflicthantering ~Onderhandelingsvaardigheden ~Technische vaardigheden ~Accountbeheer ~Cross-functionele coördinatie ~Gezondheidszorg ~Commerciële uitmuntendheid ~Ethiek ~Naleving Language Engels Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Division International Business Unit Universal Hierarchy Node Location India Site Delhi Territory Company / Legal Entity IN10 (FCRS = IN010) Novartis Healthcare Private Limited Functional Area Sales Job Type Full time Employment Type Regelmatig (Verkoop) Shift Work No Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

We’re hiring a passionate Sales Executive to convert leads into projects. You’ll be the first face of our interior design studio, guiding clients from enquiry to booking. Key Responsibilities: Handle incoming leads and convert them into projects Understand client needs, budgets & design preferences Coordinate with Co-Founders for proposals and quotes Maintain follow-ups and manage CRM updates Preferred Qualifications: Bachelor's degree in Business, Marketing, Interior Design, or related field Requirements: 1–3 years in sales (interiors/real estate preferred) Excellent communication & client handling skills Basic understanding of interior design (a bonus) Confident, presentable, and self-motivated Perks: Fixed salary + performance-based incentives creative work environment Growth opportunities in the design industry Company profile: That's My Craft interior designing studio operating since 2016. We specialised in providing comprehensive turnkey solutions for a wide range of integer design projects. With a close-knit team we strictly work with fresh philosophy every time. How to Apply: Send your resume at or contact on this number +91 9023333832. Job Types: Full-time, Fresher Pay: ₹15,000.00 - ₹25,000.00 per month Benefits: Paid sick time Ability to commute/relocate: Gota, Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Required) Experience: Sales: 1 year (Required) Language: Gujarati , Hindi , English (Required) Work Location: In person

We’re hiring a passionate Sales Executive to convert leads into projects. You’ll be the first face of our interior design studio, guiding clients from enquiry to booking. Key Responsibilities: Handle incoming leads and convert them into projects Understand client needs, budgets & design preferences Coordinate with Co-Founders for proposals and quotes Maintain follow-ups and manage CRM updates Preferred Qualifications: Bachelor's degree in Business, Marketing, Interior Design, or related field Requirements: 1–3 years in sales (interiors/real estate preferred) Excellent communication & client handling skills Basic understanding of interior design (a bonus) Confident, presentable, and self-motivated Perks: Fixed salary + performance-based incentives creative work environment Growth opportunities in the design industry Company profile: That's My Craft interior designing studio operating since 2016. We specialised in providing comprehensive turnkey solutions for a wide range of integer design projects. With a close-knit team we strictly work with fresh philosophy every time. How to Apply: Send your resume at or contact on this number +91 9023333832. Job Types: Full-time, Fresher Pay: ₹15,000.00 - ₹25,000.00 per month Benefits: Paid sick time Ability to commute/relocate: Gota, Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Required) Experience: Sales: 1 year (Required) Language: Gujarati , Hindi , English (Required) Work Location: In person

Technology Expert, PCIe 7.0 & UCIe ( Senior Manager / Manager) www.omnidesigntech.com Location: Bengaluru / Hyderabad 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. 10-15 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 • 15-25 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"

Technical Director-Mixed Signal IC Design (High level Proficiency and Hand-on ) Top100 Global Semiconductor Organization HQ in California. Revenue over 200 Million USD Location: Bangalore Location: Bangalore, India Desired Education Level: Graduate / Doctorate and above Years of experience: MTech/M.S. with 16+ years of experience or Ph.D. with 13+ years We are a precision timing company. Our semiconductor MEMS programmable solutions offer a rich feature set that enables customers to differentiate their products with higher performance, smaller size, lower power and better reliability. With more than 3 billion devices shipped, We are changing the timing industry. . Job Summary Responsibilities: • Lead development of analog Mixed-signal IC and owns the top level • Supervise and review block designer work and hold design review • Work with cross-functional team to architect the chip for DFT • Closely work and support cross functional team for bench validation, qualification and final test development. • Develop analog and mixed-signal architectures and circuits in CMOS or BiCMOS processes • Analyze technology, architecture, circuit design, and parametric design trade-offs to meet aggressive technical performance specifications • Perform transistor-level design and simulation using industry leading EDA tools • Lead comprehensive design reviews • Supervise Analog Circuit Physical Design Layout and edit layouts • Collaborate with Digital Design Engineers, CAD, Systems Engineering, Test Engineering and Applications teams to ensure DFT, DFM features and achieve rapid silicon bring-up and time to production release • Work closely with the verification team to define the verification matrix. • Have the ownership of the top-level schematic and run all the top-level analog simulation. • Participate in top-level AMS verification. Qualifications & Requirements (Education must be included): • MTech/M.S. with minimum 10 years of relevant experience or Ph.D. with 6 years of Relevant experience in Electrical Engineering • Provel track record of taking at least one analog-mixed signal part to high-volume production. • Proven track record at each stage of the following: • Circuit architecture development and technical feasibility studies • Writing detailed block-level specifications and review documents • Detailed design and simulation of some of the following: Oscillators, ADCs, DACs, temperature sensors, Integer and Fractional-N PLLs, Digital PLLs, low-noise op-amps, regulators, bandgap circuits in CMOS or BiCMOS processes, subthreshold circuits and architecture • Proficiency with EDA tools including Cadence Virtuoso, Spectre, ADE, Mixed-mode AMS tools, Layout XL • Extensive knowledge of layout effects for circuit and layout design. Ability to supervise layout designers • Extensive experience with post-layout extraction and verifications • Experience with validation, characterization, qualification, and adherence to production release criteria • Ability to communicate and work effectively with geographically dispersed teams of mixed-signal, digital, verifications engineers • Ability to work independently and drive solutions to challenging problems Desired Characteristics & Attributes: • An “ownership” mind set focusing on the overall success of the business. • Can do” positive, enthusiastic attitude. • Demonstrated analytical and problem-solving skills. • Strong communication skills. • Ability to work in teams and collaborate effectively with people in different functions. • Ability to efficiently context – switch between multiple concurrent tasks. We are a Equal Opportunity Employer. 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, 160 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. Het Jan Yperman Ziekenhuis wil de levenskwaliteit van patiënten verbeteren, afgestemd op hun persoonlijke situatie. Dat doen we deskundig, betrouwbaar en met oog voor de best mogelijke uitkomst. We zorgen ervoor dat patiënten de juiste zorg krijgen, op de juiste plaats en met de juiste middelen. Samen met eerstelijnszorgaanbieders en andere zorginstellingen maken we duidelijke afspraken, nemen we het voortouw en zetten we volop in op samenwerking. Wie bij de Sociale Dienst werkt, ondersteunt niet alleen patiënten maar ook hun partner en familieleden. Zij kunnen bij jou terecht met allerlei vragen, opmerkingen of om uitleg over hun opname of behandeling te krijgen. Vanuit het streven naar zorg op maat geef je hen de nodige informatie of zoek je dit voor hen uit. Zowel op de PAAZ-afdeling als binnen Twoape@Ieper, de kinder- en jeugdpsychiatrische afdeling (k-dienst), zetten we volop in op de versterking van de geestelijke gezondheidszorg binnen het netwerk Kwadraat. Voor de PAAZ doen we dit in nauwe samenwerking met het Psychiatrisch Centrum Heilig Hart in Ieper. We zijn op zoek naar een enthousiaste medewerker die zowel interesse heeft in het werken op de geriatrische afdelingen als de PAAZ. De PAAZ is een open afdeling met 26 bedden voor kortdurende opnames voor volwassenen met een milde psychiatrische problematiek. Op onze drie afdelingen acute Geriatrie wordt, naast de somatische problemen, naar de psychische, functionele en sociale problemen gepeild. De complexiteit van de patiënten is de verwevenheid van de problemen, op alle domeinen. In het kader van zwangerschap is het ziekenhuis op zoek naar een deeltijdse vervanging van een medewerker op de Sociale Dienst. De Sociale Dienst bestaat uit een hecht team van 12 medewerkers. Functie-inhoud Als medewerker van de Sociale Dienst sta je de patiënt bij op psychosociaal, educatief en administratief vlak om zijn verblijfsomstandigheden te verbeteren en het ontslag uit het ziekenhuis onder optimale omstandigheden te laten verlopen. Jouw Takenpakket Omvat Verlenen van bijstand aan de patiënten. Bieden van psychosociale ondersteuning. Opmaken van de sociale dossiers van de patiënten. Deelnemen aan educatieve taken. Functieprofiel Je bent bachelor in het Sociaal Werk met afstudeerrichting Maatschappelijk Werk. Je ervaring in een algemeen ziekenhuis biedt toegevoegde waarde. Je bezit basiskennis van de sociale wetgeving, mogelijkheden om de patiënten bij te staan, externe organisaties en een gedegen kennis van de aandoeningen van de patiënten. Je combineert je gedegen algemene beroepskennis met affiniteit voor de specifieke patiëntdoelgroepen. Je kan met de specifieke informaticatoepassingen werken. Kennis van Word en Excel en KWS is een meerwaarde of je bent hierin een vlotte leerling. Je bent open, respectvol en integer en klantvriendelijkheid zit in je DNA. Je kan je, zeker mondeling, vlot in het Frans uitdrukken. 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. Je bent bereid in een beurtrol voor wachtdienst “psychosociale begeleiding” te stappen en woont hierbij in een straal van 40km van het ziekenhuis. Wij bieden je Een tijdelijk contract in het kader van een vervanging zwangerschap tot eind augustus 2026. Of opname in de werfreserve. Een deeltijdse betrekking van 30,4 uur per week. Tot eind december 2025 wordt dit tijdelijk uitgebreid naar een voltijdse betrekking. Een uurrooster in de week met shiften met glijtijden die zich ’s morgens tussen 7u30 en 9u en bij het afronden tussen 16u en 17u30 situeren. Een werkregime zonder weekendwerk. Verloning volgens IFIC 14 (code 5073). Verlofregeling: 24 verlofdagen voor een voltijdse tewerkstelling (pro rata jobtime). Ingeval van voltijds: 40 uur werken in een 38 urenweekstelsel, wat in 12 extra compensatiedagen op jaarbasis resulteert. 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 Bepaalde duur Werkregime Deeltijds Solliciteren kan tot 28/09/2025 Meer Info Via Dennis Jacques, diensthoofd Dienst Patiëntenbegeleiding: 057 35 70 41. Johan Maerten, dienstverantwoordelijke Sociale Dienst: 057 35 66 60. 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