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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.

Job Description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist The individual in this role as ML Engineer will be accountable for Design, develop, and deploy machine learning models and algorithms to solve business problems. Below are the key responsibilities / activities that need to be planned, attested and executed under the remit of this role by working effectively and collaboratively with the different delivery teams. In this role, you will: Design, develop, and deploy machine learning models and algorithms to solve business problems. Preprocess and analyze large datasets to extract meaningful insights. Build and optimize data pipelines (Extract data from Oracle, Elasticsearch, storage buckets, etc.) for training and deploying ML models. Collaborate with data scientists, software engineers, and stakeholders to integrate ML solutions into production systems. Monitor and maintain deployed models to ensure performance and accuracy over time. Research and implement state-of-the-art machine learning techniques and tools. Document processes, experiments, and results for reproducibility and knowledge sharing. Stay up to date with tech, prototype with and learn new technologies, proactive in technology communities Develop & maintain ML models for Credit monitoring domain. E.g. Perpetual credit montiroing Develop innovative solutions in areas such as machine learning, Natural Language Processing (NLP), advanced and semantic information search, extraction, induction, classification and exploration Create products that provide a great user experience along with high performance, security, quality, and stability Requirements To be successful in this role, you should meet the following requirements: Minimum 10 years of software development experience. 5+ years of relevant experience in ML technologies mentioned below. Excellent problem-solving and communication skills. Strong experience in Python (3.x). Excellent working knowledge on scikit-learn, TensorFlow / PyTorch, Docker/Kubernetes. Good experience of SQL, Oracle/PostgreSQL, any NoSQL database, File buckets. Experience in using data from data lake Excellent knowledge and demonstrable experience in using open-source NLP packages such as NLTK, Word2Vec, SpaCy. Experience in setting up supervised & unsupervised learning models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization Solid understanding of ML algorithms, ML statistics, and data structures. Excellent interpersonal, presentation and analytical skills. Familiarity with MLOps practices for model deployment and monitoring. Experience working in banking domain with exposure credit monitoring Experience in automating the continuous integration/continuous delivery pipeline within a DevOps Product/Service team driving a culture of continuous improvement Location : Pune and Bangalore You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India

Job Description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Consultant Specialist The individual in this role as ML Engineer will be accountable for Design, develop, and deploy machine learning models and algorithms to solve business problems. Below are the key responsibilities / activities that need to be planned, attested and executed under the remit of this role by working effectively and collaboratively with the different delivery teams. In this role, you will: Design, develop, and deploy machine learning models and algorithms to solve business problems. Preprocess and analyze large datasets to extract meaningful insights. Build and optimize data pipelines (Extract data from Oracle, Elasticsearch, storage buckets, etc.) for training and deploying ML models. Collaborate with data scientists, software engineers, and stakeholders to integrate ML solutions into production systems. Monitor and maintain deployed models to ensure performance and accuracy over time. Research and implement state-of-the-art machine learning techniques and tools. Document processes, experiments, and results for reproducibility and knowledge sharing. Stay up to date with tech, prototype with and learn new technologies, proactive in technology communities Develop & maintain ML models for Credit monitoring domain. E.g. Perpetual credit montiroing Develop innovative solutions in areas such as machine learning, Natural Language Processing (NLP), advanced and semantic information search, extraction, induction, classification and exploration Create products that provide a great user experience along with high performance, security, quality, and stability Requirements To be successful in this role, you should meet the following requirements: Minimum 10 years of software development experience. 5+ years of relevant experience in ML technologies mentioned below. Excellent problem-solving and communication skills. Strong experience in Python (3.x). Excellent working knowledge on scikit-learn, TensorFlow / PyTorch, Docker/Kubernetes. Good experience of SQL, Oracle/PostgreSQL, any NoSQL database, File buckets. Experience in using data from data lake Excellent knowledge and demonstrable experience in using open-source NLP packages such as NLTK, Word2Vec, SpaCy. Experience in setting up supervised & unsupervised learning models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization Solid understanding of ML algorithms, ML statistics, and data structures. Excellent interpersonal, presentation and analytical skills. Familiarity with MLOps practices for model deployment and monitoring. Experience working in banking domain with exposure credit monitoring Experience in automating the continuous integration/continuous delivery pipeline within a DevOps Product/Service team driving a culture of continuous improvement Location : Pune and Bangalore You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India

Job Description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist In this role, you will: Design, develop, and deploy machine learning models and algorithms especially in classical algorithms to solve business problems. Preprocess and analyze large datasets to extract meaningful insights. Build and optimize data pipelines (Extract data from Oracle, Elasticsearch, storage buckets, etc.) for training and deploying ML models. Collaborate with ML engineers, and stakeholders to integrate ML solutions into production systems. Research and implement state-of-the-art machine learning techniques and tools. Document processes, experiments, and results for reproducibility and knowledge sharing. Stay up to date with tech, prototype with and learn new technologies, proactive in technology communities Develop & maintain ML models for Credit monitoring domain. E.g. Perpetual credit monitoring Develop innovative solutions in areas such as machine learning, Natural Language Processing (NLP), advanced and semantic information search, extraction, induction, classification and exploration Create products that provide a great user experience along with high performance, security, quality, and stability Requirements To be successful in this role, you should meet the following requirements: Minimum 10 years of software development experience. 5+ years of relevant experience in ML technologies mentioned below. Excellent problem-solving and communication skills. Strong experience in Python (3.x). Excellent working knowledge on scikit-learn, classical ML Model development Good experience of SQL, Oracle/PostgreSQL, any NoSQL database, File buckets. Experience in using data from data lake Excellent knowledge and demonstrable experience in using open-source NLP packages such as NLTK, Word2Vec, SpaCy. Experience in setting up supervised & unsupervised learning models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization Solid understanding of ML algorithms, ML statistics, and data structures. Excellent interpersonal, presentation and analytical skills. Familiarity with MLOps practices for model deployment and monitoring. Experience working in banking domain with exposure credit monitoring Experience in automating the continuous integration/continuous delivery pipeline within a DevOps Product/Service team driving a culture of continuous improvement Location : Pune and Bangalore You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development India

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.

Data scientists at Thoughtworks apply a deep knowledge of statistics, modeling, machine learning algorithms and data mining techniques. This is coupled with awareness of adjacent areas, to make business value and data insights visible, enabling clear and effective decision making. They are responsible for the strategy, implementation, productionization and articulation of business impact. They collaborate with cross-functional teams and communicate findings to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members. As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems. Job responsibilities You will work collaboratively with teams/products, crafting data science and machine learning solutions that generate a big impact on customers You will conduct experiments and develop hypotheses to solve business problems using advanced statistics techniques You will develop and implement data science strategies that drive measurable business results You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind You will interact with clients from diverse domains, addressing their challenging problems You will contribute to the growth and knowledge sharing within the data science community, with a focus on latest tech trends in the data science and machine learning space You will address ethical concerns in data science, including privacy, bias and fairness, while adhering to ethical guidelines Job Qualifications Technical Skills You have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects You understand the specialized areas of AI and possess experience with at least one of them (i.e.: NLP/computer vision/Generative AI, etc) You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations You are aware of data privacy regulations and ethical standards when handling sensitive information Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work You enjoy influencing others and always advocate for technical excellence while being open to change when needed Other things to know Learning & Development There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. About Thoughtworks Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 30+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world. Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary. See here our AI policy.

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 20th July 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: What you need to know about the role This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with business owners, data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Meet our team We are the Data Science team in the Risk Management team that bring innovative new solutions to leverage machine learning and artificial intelligence to automate operational reviews for fraud risk management. We strive to create a balance between innovation, regulatory compliance, managing fraud losses and improving customer experiences. Job Description: Your day to day Essential Responsibilities: Design, Develop and optimize machine learning models for various applications. Preprocess and analyze large datasets to extract meaningful insights. Deploy ML solutions into production environments using appropriate tools and frameworks. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models. Collaborate with various stakeholders to drive the right adoption and understand changing business needs People Management Roles: Oversee the team’s capabilities, timely deliveries and execution Guide and mentor the team through projects and to facilitate their career growth What Do You Need To Bring- Minimum Qualifications: Minimum of 8 years of relevant work experience and a bachelor’s degree or equivalent experience. Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Several years of experience in designing, implementing, and deploying machine learning models and scaling ML Systems For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. REQ ID R0128400

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 20th July 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds.

Hi... We are looking for Data Scientist with Artificail Intelligence & machine Learning Work Location: Only Hyderabad Exp Range: 4 to 8 Yrs Design and build intelligent agents ( RAG , task agents, decision bots) for use in credit, customer service, or analytics workflows. – Finance Domain Deploy and manage AI models in production using AWS AI/ML services (SageMaker, Lambda, Bedrock, etc.). Work with Python and SQL to preprocess, transform, and analyze large volumes of structured and semi-structured data. Collaborate with data scientists, data engineers, and business stakeholders to convert ML prototypes into scalable services. Automate the lifecycle of AI/ML solutions using MLOps practices (model versioning, CI/CD, model monitoring). Leverage vector databases (like Pinecone or OpenSearch) and foundation models to build conversational or retrieval-based solutions. Ensure proper governance, logging, and testing of AI solutions in line with RBI and internal guidelines.

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 19th July 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Ekyam.ai: Integrating Systems, Unleashing Intelligence - Join Our India Expansion! Are you ready to solve complex integration challenges and build the next generation of AI-driven retail technology? Ekyam.ai, headquartered in New York, US, is expanding globally and establishing its new team in India! We are looking for talented individuals like you to be foundational members of our Indian presence. Ekyam.ai is developing a groundbreaking AI-native middleware platform that connects disparate retail systems (ERP, OMS, WMS, POS, etc.) and creates a unified, real-time, vectorized data layer. We enable intelligent automation and transform how retailers leverage their data by integrating cutting-edge AI capabilities. Role We are seeking an experienced AI Developer (4–6 years) skilled in applying Large Language Models (LLMs) and building AI-driven applications to join our growing team. A significant part of this role involves designing and developing AI Agents within our platform with an initial focus on integrating external LLM APIs (e.g., OpenAI, Anthropic, Google) via sophisticated prompt engineering and RAG techniques into these agents, built using Python + FastAPI . You will architect the logic for these agents, enabling them to perform complex tasks within our e-commerce and retail data orchestration pipelines. Furthermore, as Ekyam.ai evolves, this role offers the potential to grow into customizing and deploying LLMs in-house , so adaptability and a strong foundation in ML/LLM principles are key. Key Responsibilities AI Agent Development: Design, develop, test, and maintain the core logic for AI Agents within FastAPI services. Orchestrate agent tasks, manage state, interact with platform data/workflows, and integrate LLM capabilities. LLM API Integration & Prompt Engineering: Integrate with external LLM provider APIs . Design, implement, and rigorously test effective prompts for diverse retail-specific tasks (generation, Q&A, summarization). RAG Implementation: Implement and optimize Retrieval-Augmented Generation (RAG) patterns using vector databases to provide relevant context to LLM API calls made by agents. FastAPI Microservice Development: Build and maintain the scalable FastAPI microservices that host AI Agent logic and handle interactions with LLMs and other platform components in a containerized environment ( Docker, Kubernetes ). Data Processing for AI: Prepare and preprocess data required for effective prompt context, RAG retrieval, and potentially for future fine-tuning tasks. Collaboration & Future Adaptation: Work with cross-functional teams to deliver AI features. Stay updated on LLM advancements and be prepared to learn and contribute to potential future in-house LLM fine-tuning and deployment efforts. Required Skills & Qualifications 3–6 years of hands-on experience in software development with a strong focus on AI/ML application development . Demonstrable experience integrating and utilizing external LLM APIs (e.g., OpenAI, Anthropic, Google) in applications. Proven experience with Prompt Engineering techniques. Strong Python programming skills. Practical experience building and deploying RESTful APIs using FastAPI . Experience designing and implementing application logic for AI-driven features or agents . Understanding and practical experience with RAG concepts and vector databases (Pinecone, FAISS, etc.). Solid understanding of core Machine Learning concepts and familiarity with frameworks like PyTorch, TensorFlow, or Hugging Face (important for understanding models and future adaptation). Familiarity with cloud platforms ( AWS, GCP, or Azure ) and containerization ( Docker, Kubernetes ) for application deployment. Solid problem-solving skills and clear communication abilities. Experience working effectively in an agile environment. Willingness and capacity to learn and adapt towards future work involving deeper LLM customization and deployment. Bachelor's or Master's degree in Computer Science, AI, or a related field. Ability to work independently and collaborate effectively in a remote setting. Preferred Qualifications Experience with frameworks like LangChain or LlamaIndex. Experience with observability and debugging tools for LLM applications, such as LangSmith. Experience with graph databases (e.g., Neo4j) and query languages (e.g., Cypher). Experience with MLOps practices, applicable to both current application monitoring and future model lifecycle management. Experience optimizing API call performance (latency/cost) or model inference. Knowledge of AI security considerations and bias mitigation . Why Join Ekyam.ai? Be a foundational member of our new India team! This role offers a unique blend: build intelligent AI Agents leveraging cutting-edge external LLMs today, while positioning yourself at the forefront of our future plans for deeper AI customization. You'll gain expertise across the AI application stack (APIs, RAG, Agents, potential future MLOps) and collaborate within a vibrant global team shaping the future of AI in e-commerce. We offer competitive compensation that values your current skills and growth potential.

Work Level : Individual Core : Communication Skills, Problem Solving, Execution Leadership : Decisive, Team Alignment, Working Independently Industry Type : IT Services & Consulting Function : Data Analyst Key Skills : Data Analytics,Data Analysis,Python,R,MySQL,Cloud,AWS,Bigdata,Big Data Platforms,Business Intelligence (BI),Tableau,Data Science,Statistical Modeling Education : Graduate Note: This is a requirement for one of the Workassist Hiring Partner. Key Responsibilities: This is a Remote Position. Collect, clean, and preprocess data from various sources. Perform exploratory data analysis (EDA) to identify trends and patterns. Develop dashboards and reports using tools like Excel, Power BI, or Tableau. Use SQL to query and manipulate large datasets. Assist in building predictive models and performing statistical analyses. Present insights and recommendations based on data findings. Collaborate with cross-functional teams to support data-driven decision-making. Company Description Workassist is an online recruitment and employment solution platform based in Lucknow, India. We provide relevant profiles to employers and connect job seekers with the best opportunities across various industries. With a network of over 10,000+ recruiters, we help employers recruit talented individuals from sectors such as Banking & Finance, Consulting, Sales & Marketing, HR, IT, Operations, and Legal. We have adapted to the new normal and strive to provide a seamless job search experience for job seekers worldwide. Our goal is to enhance the job seeking experience by leveraging technology and matching job seekers with the right employers. For a seamless job search experience, visit our website: https://bit.ly/3QBfBU2 (Note: There are many more opportunities apart from this on the portal. Depending on the skills, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Selected Intern’s Day-to-day Responsibilities Include As a Data Analyst Intern, you will work closely with the product, sales, and marketing teams to collect, clean, analyze, and visualize data related to: Collect and organize data from multiple sources (CRM, sales reports, drone app analytics, marketing campaigns, etc.) Clean, validate, and preprocess raw data for accuracy Perform descriptive & exploratory data analysis Create dashboards & reports for stakeholders using Excel, Google Sheets, Power BI, or Tableau Identify trends, patterns, and correlations in drone usage and sales data Work on predictive analytics for demand forecasting (optional, if skilled in ML) Provide actionable insights to marketing & product teams Support the implementation of data-driven strategies to optimize drone performance Document your findings and present them in easy-to-understand reports Note Drone usage patterns from our Pluto Controller App Sales and distributor performance Workshop & training engagement analytics Customer behavior & feedback trends About Company: Drona Aviation is an IIT Bombay incubated drone solutions company. We build drone kits to train students to build their own drones and their own applications. We also conduct workshops at our office and in schools/ colleges to educate both college and school students about the intricacies of drones to enable the building of an ecosystem where more drone-based applications keep coming from students themselves.

Job Title: Data Science Intern Company: Optimspace.in Location: Remote Duration: 3 months Opportunity: Full-time role based on performance + Internship Certificate Optimspace.in Optimspace.in provides students and graduates with hands-on experience in Data Science and AI, helping them build skills and portfolios through real-world projects. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your application with the subject line "Data Science Intern Application." 📅 Deadline: 18th July 2025 Note:- Optimspace.in is an equal opportunity employer, welcoming diverse applicants.

Machine Learning Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship Application Deadline : 19th July 2025 About Unified Mentor Unified Mentor provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities ✅ Design, test, and optimize machine learning models ✅ Analyze and preprocess datasets ✅ Develop algorithms and predictive models ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn ✅ Document findings and create reports Requirements 🎓 Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field) 🧠 Knowledge of machine learning concepts and algorithms 💻 Proficiency in Python or R (preferred) 🤝 Strong analytical and teamwork skills Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Hands-on machine learning experience ✔ Internship Certificate & Letter of Recommendation ✔ Real-world project contributions for your portfolio Equal Opportunity Unified Mentor is an equal-opportunity employer, welcoming candidates from all backgrounds.

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 19th July 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds.

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.

iSec is at the forefront of innovation in the field of information security, leveraging artificial intelligence and machine learning to enhance cybersecurity solutions. We are looking for a talented and motivated Programming Intern to join our team and assist in the development of AI models tailored to identify, analyze, and mitigate security threats. **Job Summary:** As a Programming Intern, you will work with our AI and information security teams to design, implement, and test machine learning models aimed at enhancing cybersecurity protocols. This is a unique opportunity for someone passionate about AI and security to gain hands-on experience and contribute to impactful projects in a fast-evolving field. **Key Responsibilities:** - **Develop and Train AI Models:** Assist in the design, coding, and training of machine learning models focused on identifying anomalies, detecting threats, and improving data security. - **Data Preprocessing and Management:** Work with large datasets to clean, preprocess, and prepare data for model training, ensuring data integrity and accuracy. - **Algorithm Optimization:** Experiment with and optimize various machine learning algorithms to improve model performance and efficiency. - **Testing and Validation:** Assist in testing, validating, and fine-tuning models to ensure high accuracy and robustness against potential security threats. - **Documentation:** Document model architecture, data flow, and codebase as well as maintain comprehensive records of model results and improvements. **Requirements:** - **Education:** Currently pursuing a degree in Computer Science, Data Science, Artificial Intelligence, Cybersecurity, or a related field. - **Programming Skills:** Proficiency in Python is essential; familiarity with libraries such as TensorFlow, PyTorch, Scikit-Learn, and Pandas is preferred. - **Knowledge of Machine Learning Algorithms:** Understanding of basic machine learning and deep learning concepts, with experience in supervised, unsupervised, or reinforcement learning. - **Familiarity with Information Security:** Basic knowledge of cybersecurity principles, including threat detection, network security, and encryption, is a plus. - **Analytical Skills:** Strong problem-solving abilities and attention to detail in analyzing data, troubleshooting issues, and optimizing model performance. - **Communication Skills:** Ability to document work clearly and collaborate effectively with team members from various technical background **Preferred Qualifications:** - Prior experience or coursework related to machine learning or information security. - Exposure to big data tools and cloud platforms (AWS, Google Cloud, Azure) is advantageous. - Experience with Git or other version control systems. **Benefits:** - Hands-on experience in AI and cybersecurity within a supportive team environment. - Mentorship from experienced AI and cybersecurity professionals. - Opportunity to contribute to real-world projects with meaningful impact. - Potential for future employment opportunities based on performance. **Application Process:** To apply, please submit your resume, a brief cover letter detailing your interest and relevant experience, and any relevant project work or code samples. Job Types: Full-time, Internship, Volunteer Contract length: 6 months Schedule: Day shift Supplemental Pay: Performance bonus Ability to commute/relocate: Oshiwara, Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Required) Experience: total work: 1 year (Preferred) Location: Oshiwara, Mumbai, Maharashtra (Preferred) Work Location: In person Application Deadline: 25/07/2025 Expected Start Date: 01/08/2025

Job Description Summary Responsible for designing, building POC's in AI, delivering and maintaining software and AI applications & services. Working in the areas of machine learning, cloud, platform and/or software applications. Responsible for software lifecycle including activities such as requirement analysis, documentation/procedures and implementation. Job Description In this role, you will: Have awareness of SDLC and methodologies like Lean/Agile/XP, CI, Software and Product Security, Scalability, Documentation Practices, refactoring and Testing Techniques. Ability to write code that meets standards and delivers desired functionality using the technology selected for the project. Understand performance parameters and can assess application performance. Understand core data structures and algorithms and has the ability to implement them using language recommended by the Product architects. Write code that meets standards and delivers desired functionality using the technology selected for the project . Assist in developing, training and optimizing ML/DL models (NLP, reinforcement learning etc.) . Preprocess and analyze large datasets for model training . Implement and test algorithms in frameworks like Tensor Flow and Pytorch . Deploy models using cloud services (AWS/Azure) or edge devices for GridOS product and Customers . Contribute to AI prototyping . Support end customers post deployment of the solutions and resolve bugs. . Deep Dive into research papers in AI/ML domain and come up with ideas to design and develop new models for power system domain Education Qualification Master of Technology in Computer Science with Specialization in Artificial Intelligence from a reputed university. Desired Characteristics Technical Expertise: Comfortable in building features such as web services and Queries on existing tables. Aware of methods and practices such as Lean/Agile/XP, etc. Prior work experience in an agile environment, or introductory training on Lean/Agile. Aware of and able to apply continuous integration (CI). General understanding of the impacts of technology choice to the software development life cycle. Business Acumen: Has the ability to break down problems and estimate time for development tasks. Understands the technology landscape, up to date on current technology trends and new technology, brings new ideas to the team. Displays understanding of the project's value proposition for the customer. Shows commitment to deliver the best value proposition for the targeted customer. Learns organization vision statement and decision making framework. Able to understand how team and personal goals/objectives contribute to the organization vision Personal/Leadership Attributes: Voices opinions and presents clear rationale. Uses data or factual evidence to influence. Learns organization vision statement and decision making framework. Able to understand how team and personal goals/objectives contribute to the organization vision. Completes assigned tasks on time and with high quality. Takes independent responsibility for assigned deliverables. Has the ability to break down problems and estimate time for development tasks. Seeks to understand problems thoroughly before implementing solutions. Asks questions to clarify requirements when ambiguities are present. Identifies opportunities for innovation and offers new ideas. Takes the initiative to experiment with new software frameworks Adapts to new environments and changing requirements. Pivots quickly as needed. When coached, responds to need & seeks info from other sources Note: This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager. Additional Information Relocation Assistance Provided: Yes

Location: Noida Employment Type: Full-time Experience Required: 5 to 10 years Notice Period: Immediate joiners preferred (within 30 days) Job Description: The Machine Learning Engineer will design, develop, and deploy machine learning models and pipelines. You will work with large datasets to preprocess and clean data for training, collaborate with data engineers and scientists to integrate models into production systems, and optimize ML models for scalability and performance. Key Responsibilities: Design, develop, and deploy machine learning models and pipelines. Work with large datasets to preprocess and clean data for training. Collaborate with data engineers and scientists to integrate models into production systems. Optimize ML models for scalability and performance. Required Skills & Qualifications: Proficiency in Python , R , and frameworks like TensorFlow or PyTorch . Strong understanding of machine learning algorithms, statistical analysis, and data structures. Experience with big data tools like Hadoop , Spark , or Kafka . Familiarity with cloud-based AI services such as AWS SageMaker , Google AI , or Azure ML . Knowledge of version control systems like Git and deployment processes. Key Competencies: Analytical mindset and critical thinking skills. Adaptability to evolving technologies and research directions. Effective communication for conveying technical insights to stakeholders.

Let’s be #BrilliantTogether ISS Market Intelligence (ISS MI) is looking for an Primary Market Research Analyst to join to join the Mumbai based Research team in support of our ISS MI Research. Overview ISS Market Intelligence Research forms part of the Market Intelligence (MI) division of ISS STOXX. As a Research Analyst you will work on small project teams to support our syndicated research studies, analyze research results, and help develop client deliverables. Coverage will focus on a recurring series of sentiment surveys but may also include other survey research products. Analysts develop critical skill sets by contributing to all phases of our research. They gain valuable market research experience, becoming well-versed in survey design and implementation, data collection and validation, and analysis of results to arrive at strategic implications. Additionally, Analysts develop deep knowledge of our clients’ businesses and strong project management skills. Finally, they gain broad exposure to the US financial services industry and the unique market dynamics for advisor-sold products in the asset management, annuity and life insurance space. Responsibilities Program surveys using Qualtrics. Customize surveys with advanced features like embedded data and custom JavaScript. Implement logic and branching to ensure a smooth survey flow. Conduct thorough testing of surveys to identify and fix any issues before deployment. Monitor survey distribution and response rates. Ensure data quality and integrity during collection. Clean and preprocess survey data. Analysis if market research results in SPSS, Excel and database environments Identify recurring themes and patterns in qualitative data and assign categories. Correct spelling and grammar in qualitative data. Visualize quantitative and qualitative data using charts and graphs to highlight key findings. Qualifications University Degree with academic distinction 1-2 years of experience in market research or related field Strong quantitative skills and a passion for analyzing statistical data Desire to work in a team-oriented, entrepreneurial environment Strong sense of ownership of responsibilities combined with proactive mindset when working autonomously Exceptional attention to detail and organization Demonstrated ability to work with quantitative data Excellent communication skills, both written and verbal Ability to proactively manage time to achieve target dates Demonstrated ability to juggle multiple priorities simultaneously Ability to work independently as well as collaborate effectively with other teams Proficiency with Microsoft Office software (Excel, PowerPoint, Word) Experience with SPSS or another statistical program a plus Utilize critical thinking skills to analyze data trends and derive actionable insights. Able to identify discrepancies in data and propose effective solutions. #ANALYST #MIN What You Can Expect From Us At ISS STOXX, our people are our driving force. We are committed to building a culture that values diverse skills, perspectives, and experiences. We hire the best talent in our industry and empower them with the resources, support, and opportunities to grow—professionally and personally. Together, we foster an environment that fuels creativity, drives innovation, and shapes our future success. Let’s empower, collaborate, and inspire. Let’s be #BrilliantTogether. About ISS STOXX ISS STOXX GmbH is a leading provider of research and technology solutions for the financial market. Established in 1985, we offer top-notch benchmark and custom indices globally, helping clients identify investment opportunities and manage portfolio risks. Our services cover corporate governance, sustainability, cyber risk, and fund intelligence. Majority-owned by Deutsche Börse Group, ISS STOXX has over 3,400 professionals in 33 locations worldwide, serving around 6,400 clients, including institutional investors and companies focused on ESG, cyber, and governance risk. Clients trust our expertise to make informed decisions for their stakeholders' benefit. ISS Market Intelligence (ISS MI) is a leading provider of data, insights, and market engagement solutions to the global financial services industry. ISS MI empowers asset and wealth management firms, insurance companies, distributors, service providers, and technology firms to assess their target markets, identify and analyze the best opportunities within those markets, and execute on comprehensive go-to-market initiatives to grow their business. Clients benefit from our increasingly connected global platform that leverages a combination of proprietary data, powerful analytics, timely and relevant insights, in-depth research, as well as an extensive suite of industry-leading media brands that deliver unmatched market connectivity through news and editorial content, events, training, ratings, and awards. Visit our website: https://www.issgovernance.com View additional open roles: https://www.issgovernance.com/join-the-iss-team/ Institutional Shareholder Services (“ISS”) is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to as “protected status”). All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements.

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 18th July 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Job Description: Essential Responsibilities: Develop and optimize machine learning models for various applications. Preprocess and analyze large datasets to extract meaningful insights. Deploy ML solutions into production environments using appropriate tools and frameworks. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models. Minimum Qualifications: Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience. Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Several years of experience in designing, implementing, and deploying machine learning models. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. REQ ID R0128324