9723 Tensorflow Jobs - Page 20

Artificial Intelligence Intern (Paid | Certificate | 100% Job Guarantee) Join our Artificial Intelligence Internship program designed for students and recent graduates looking to kickstart a career in AI. This is a paid internship that includes an experience certificate and a 100% job guarantee . You’ll gain hands-on experience working on real-world projects in machine learning, deep learning, and natural language processing. Interns will work with tools such as Python, TensorFlow, PyTorch, and Scikit-learn under the guidance of experienced AI professionals. What You’ll Get: Official experience certificate upon completion 100% job guarantee based on performance Real-time project exposure in AI/ML One-on-one mentorship from industry experts Skill development in data preprocessing, model building, and evaluation This internship is ideal for those passionate about artificial intelligence and ready to learn in a practical, fast-paced environment. It’s more than just training — it's your first step toward a professional AI career. Limited slots available. Apply now to secure your place! Job Type: Internship Contract length: 8 months Schedule: Monday to Friday Morning shift Weekend only Work Location: In person

Data Science and AI Developer **Job Description:** We are seeking a highly skilled and motivated Data Science and AI Developer to join our dynamic team. As a Data Science and AI Developer, you will be responsible for leveraging cutting-edge technologies to develop innovative solutions that drive business insights and enhance decision-making processes. **Key Responsibilities:** 1. Develop and deploy machine learning models for predictive analytics, classification, clustering, and anomaly detection. 2. Design and implement algorithms for data mining, pattern recognition, and natural language processing. 3. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. 4. Utilize advanced statistical techniques to analyze complex datasets and extract actionable insights. 5. Implement scalable data pipelines for data ingestion, preprocessing, feature engineering, and model training. 6. Stay updated with the latest advancements in data science, machine learning, and artificial intelligence research. 7. Optimize model performance and scalability through experimentation and iteration. 8. Communicate findings and results to stakeholders through reports, presentations, and visualizations. 9. Ensure compliance with data privacy regulations and best practices in data handling and security. 10. Mentor junior team members and provide technical guidance and support. **Requirements:** 1. Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. 2. Proven experience in developing and deploying machine learning models in production environments. 3. Proficiency in programming languages such as Python, R, or Scala, with strong software engineering skills. 4. Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Spark MLlib. 5. Solid understanding of data structures, algorithms, and computer science fundamentals. 6. Excellent problem-solving skills and the ability to think creatively to overcome challenges. 7. Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. 8. Certification in Data Science, Machine Learning, or Artificial Intelligence (e.g., Coursera, edX, Udacity, etc.). 9. Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. 10. Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) is an advantage. Data Manipulation and Analysis : NumPy, Pandas Data Visualization : Matplotlib, Seaborn, Power BI Machine Learning Libraries : Scikit-learn, TensorFlow, Keras Statistical Analysis : SciPy Web Scrapping : Scrapy IDE : PyCharm, Google Colab HTML/CSS/JavaScript/React JS Proficiency in these core web development technologies is a must. Python Django Expertise: In-depth knowledge of e-commerce functionalities or deep Python Django knowledge. Theming: Proven experience in designing and implementing custom themes for Python websites. Responsive Design: Strong understanding of responsive design principles and the ability to create visually appealing and user-friendly interfaces for various devices. Problem Solving: Excellent problem-solving skills with the ability to troubleshoot and resolve issues independently. Collaboration: Ability to work closely with cross-functional teams, including marketing and design, to bring creative visions to life. interns must know about how to connect front end with datascience Also must Know to connect datascience to frontend **Benefits:** - Competitive salary package - Flexible working hours - Opportunities for career growth and professional development - Dynamic and innovative work environment Job Type: Full-time Pay: ₹8,000.00 - ₹12,000.00 per month Ability to commute/relocate: Thiruvananthapuram, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role : As the Director ML Engineering & Automation, you will lead a dynamic team at the forefront of transforming the Media & Entertainment industry. In this high-impact role, you will be responsible for driving the strategic direction and execution of ML and AI solutions to enhance content personalization, automate workflows, and provide innovative, data-driven experiences. You will work closely with cross-functional teams, including Data Scientists, Software Engineers, and Product Managers, to deliver cutting-edge solutions that fuel business growth and deliver the next generation of entertainment experiences. This is an exciting opportunity to shape the future of entertainment through AI-driven innovation. In this leadership role, you will have the opportunity to build and scale a world-class ML engineering team, while leveraging your expertise to solve some of the most complex and exciting challenges in the industry. This role combines technical excellence, strategic vision, and team leadership to make a lasting impact on the company's mission. Your Role Accountabilities: 1. Leadership & Team Building Lead, mentor, and grow a high-performing ML engineering team, fostering a culture of innovation and continuous improvement. Define and execute the roadmap for building scalable, high-impact ML solutions that support the company's core business and strategic objectives. Collaborate closely with leadership across departments, including data science, product management, and IT, to ensure alignment of ML initiatives with business needs. Establish clear performance metrics and regularly assess the effectiveness of the team and individual contributors. Promote knowledge-sharing, best practices, and a growth mindset within the team to enhance technical depth and execution efficiency. 2. End-to-End ML Solution Development Oversee the design, development, deployment, and maintenance of machine learning models and systems that power content recommendation engines, personalization, automation, and other key business areas. Drive the adoption of best practices in model development, testing, monitoring, and optimization across the team. Build scalable, production-ready ML pipelines that process vast amounts of data and generate real-time insights. Ensure that solutions are optimized for performance, cost-efficiency, and maintainability in a cloud-native, microservices environment. Lead efforts to continuously improve model performance, incorporating user feedback and business metrics. 3. Innovation & Strategy Identify and evaluate emerging technologies, algorithms, and methodologies in the AI/ML space, integrating them into the company's tech stack to maintain a competitive edge. Work closely with senior leadership to define AI/ML strategies and influence decision-making on product and business development. Evaluate and implement advanced techniques in natural language processing (NLP), computer vision, deep learning, reinforcement learning, and other domains as relevant to the media industry. Provide thought leadership on the application of AI/ML in media and entertainment, positioning the company as a leader in AI-driven innovation. 4. Collaboration & Cross-Functional Engagement Partner with product management, engineering, and business teams to translate complex business problems into technical ML solutions. Collaborate on the integration of ML models into products and workflows, ensuring smooth end-to-end delivery from prototype to production. Act as a trusted advisor to executives and stakeholders on ML capabilities, project status, risks, and business impact. Drive the development and implementation of data governance, privacy, and security practices to ensure compliance with regulatory requirements. Facilitate the sharing of ML insights with broader company teams, providing transparency and fostering a data-driven culture. 5. Performance Monitoring & Reporting Define and track key performance indicators (KPIs) to measure the success of ML initiatives and models. Oversee the collection and analysis of model performance data, providing regular updates to leadership and stakeholders. Ensure that deployed models are continuously monitored, maintained, and updated to meet evolving business needs. Lead post-mortem analyses of model failures and actively drive improvements based on lessons learned. Utilize data to iterate and refine models to increase their accuracy and efficiency. Qualifications & Experiences: Master’s or Ph.D. degree in Computer Science, Engineering, Data Science, Machine Learning, or a related field from a reputed institution. 12+ years of experience in the field of machine learning and AI, with at least 5 years in a leadership or managerial role. Proven track record of successfully leading and scaling ML engineering teams and delivering large-scale ML projects in a fast-paced environment. Experience working in the Media & Entertainment industry or related sectors, with knowledge of data-driven content recommendations, personalization, and automation. Expertise in designing, building, and deploying production-grade machine learning systems at scale. Experience in leading cross-functional teams to deliver end-to-end machine learning solutions, from conceptualization to deployment and optimization. Demonstrated ability to influence senior stakeholders and executives, translating technical concepts into business impact. Strong expertise in machine learning algorithms, deep learning, reinforcement learning, and statistical modeling techniques. In-depth knowledge of data structures, software engineering principles, and system design. Experience with distributed computing and cloud technologies (AWS, GCP, Azure) and containerization (Docker, Kubernetes). Proficiency in programming languages such as Python, Java, or Scala, and familiarity with ML frameworks like TensorFlow, PyTorch, or Keras. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

Job Description We are seeking an experienced Staff Software Engineer (AI). In this role, you will be part of the Pathfinding Studio within the Innovation Office. The team is exploring AI/machine learning techniques for various domain-specific problems related to engineering and robotics. Responsibilities: This role requires you to research and develop AI/machine learning models. You will train, fine-tune, or perform in-context learning to develop state-of-the-art AI/machine learning-based models. Activities will involve the identification and preparation of data sets, maintenance of data sets, identifying, using, and developing appropriate model architecture, and delivering the model along with model usage documentation and examples. Additionally, you will work on developing AI models targeting robotics utilizing relevant virtual modeling frameworks. Minimum Qualifications: Experience with multimodal machine learning model development based on structured and unstructured data targeting robotics. Experience with the end-to-end deep learning development life cycle. Ability to understand, analyze, test model behavior, and summarize model performance. Ability to work with AI/ML flow in CPU, embedded CPU, and GPU-based infrastructure in Windows and Linux environments. Ability to select and use appropriate models from the open-source environment in memory and compute-constrained infrastructure. Experience in training, fine-tuning, and in-context learning with multi-modal models and datasets using Python/C/C++. Knowledge of traditional and state-of-the-art machine learning techniques related to NLP, Video, Audio, Generative AI, Code understanding, and generation. Experience with virtual model development using IsaacSim and MuJoCo for robotics. Qualifications Education: Master’s degree in computer science, Electrical Engineering, Computer Engineering, or a similar field with 5 years of relevant experience in end-to-end machine learning development or a PhD with 3 years of relevant experience. Preferred Qualifications: Hands-on expertise in deep learning model development and tuning. Experience with structured and unstructured data manipulation and management for machine learning pipelines. Experience with virtual and physical modeling environments targeting robotics. Experience in Python and ML frameworks (e.g., PyTorch, TensorFlow, ONNX, etc.). Experience in using open-source model development (e.g., Huggingface, Langchain, etc.). Experience with data processing and UI frameworks (e.g., Pandas, Plotly, SciPy, Flask, Streamlit, or similar). Ability to understand and explain state-of-the-art AI models. Ability to understand and summarize the hardware and software complexity of various AI models. Knowledge of applying AI algorithms in semiconductor design and verification. Company Description Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure and IoT markets. Our robust product portfolio includes world leading MCUs, SoCs, Analog and power products, plus Winning Combination solutions that curate these complementary products. We are a key supplier to the world’s leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you. Renesas employs roughly 21,000 people in more than 30 countries worldwide. As a global team, our employees actively embody the Renesas Culture, our guiding principles based on five key elements: Transparent, Agile, Global, Innovative, and Entrepreneurial. Renesas believes in, and has a commitment to, diversity and inclusion, with initiatives and a leadership team dedicated to its resources and values. At Renesas, we want to build a sustainable future where technology helps make our lives easier. Join us and build your future by being part of what’s next in electronics and the world. Additional Information Renesas is an embedded semiconductor solution provider driven by its Purpose ‘ To Make Our Lives Easier .’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 21,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘ To Make Our Lives Easier .’ At Renesas, you can: Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things. Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure. Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day. Are you ready to own your success and make your mark? Join Renesas. Let’s Shape the Future together. Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement . Job title Staff Software Engineer Department Engineering Location Hyderabad Remote No Requisition ID 20020176_2025-07-03

- Experience building machine learning models or developing algorithms for business application - PhD or Master's degree or Bachelorshi in a technical field (e.g., computer science, statistics, applied mathematics) with 4+ years of relevant experience. - Proven track record of designing, implementing, and deploying successful machine learning solutions for real-world business problems. - Expertise in areas such as natural language processing, computer vision, deep learning, and other cutting-edge ML techniques. - programming skills in Python, R, or other relevant languages, and experience with popular ML frameworks like TensorFlow, PyTorch, or MXNet. - communication and collaboration skills to effectively work with cross-functional teams. We are seeking a talented Applied Scientist to join our MENA Science team and drive the development of state-of-the-art machine learning solutions for our customers in the MENA region. In this role, you will leverage state-of-the-art machine learning and data science techniques to create solutions that directly address critical customer problems. Your work will directly impact the customer experience and profitability of our MENA businesses, helping us enhance catalog quality, improve machine translation, prevent abuse and fraud etc. Key job responsibilities • Invent, implement, and deploy machine learning algorithms and models to solve complex, real-world problems for our MENA customers. • Collaborate closely with cross-functional teams, including product managers, engineers, and other applied scientists, to identify high-impact areas for innovation. • Prototype and test new approaches, such as leveraging large language models (LLMs) and other advanced techniques, to drive measurable improvements in key business metrics. • Tackle a diverse range of challenges, such as improving catalog quality through large language models, enhancing machine translation, developing abuse prevention systems etc. • Staying up-to-date with the latest advancements in machine learning and data science, and proactively identifying opportunities to apply these techniques to drive business impact. • Contribute to the broader scientific community by publishing your work at top-tier conferences and journals. A day in the life Diving deep in to ambiguous and complex business problems and translating them to ML problem statements. Applying relevant science solutions for the ML problems. Staying abreast with evolving science landscape and applying the state-of-the-art. About the team MENA tech is a 200+ people tech organization spread across Jordan, UAE, India and Seattle, building amazing solutions for customers in the region. We deploy in MENA first but build for the world Proficient in any one of these areas: large language models, NLP (Information retrieval, Machine Translation), Computer Vision, Classification models using Boosting/Bagging or Deep Neural Networks. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the AI landscape. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with team members to design and implement AI-driven applications. - Analyze project requirements and develop effective strategies for AI model integration. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. - Familiarity with natural language processing techniques and tools. - Knowledge of software development best practices and version control systems. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models. - This position is based at our Hyderabad office. - A 15 years full time education is required. 15 years full time education

About the Role: Join us as an ML/Agentic AI Engineering Intern to work on frontier problems in Generative AI, Agentic AI, and Optimization-focused ML, contributing to real-world intelligent systems powered by deep learning and language models. Responsibilities: Build, fine-tune, and deploy LLMs, multimodal models. Implement memory-augmented agents, chain-of-thought agents, or tool-using agents. Collaborate on end-to-end ML pipelines from preprocessing to deployment. Work with vector databases, RAG pipelines, and prompt engineering. Requirements: Strong background in Python, PyTorch/TensorFlow, HuggingFace. Experience with LLMs (OpenAI, Gemini, LLaMA, Claude). Experience with agentic frameworks (LangChain, Autogen, CrewAI). Good grasp of optimization techniques (gradient descent, metaheuristics, etc.). Familiarity with MLOps and deployment strategies is a plus. Time Period : Minimum 3 months (Can be extended based on candidate's performance) For Inquiry Contact: Jnan Yalla, Chief AI Officer, DataTeach.Ai Phone : +91-9150859936 Email : jnan@datateach.ai Job Types: Full-time, Fresher Pay: Up to ₹8,000.00 per month Benefits: Work from home Language: English (Required) Telugu (Preferred) Location: KPHB Colony, Hyderabad, Telangana (Preferred) Work Location: In person Expected Start Date: 04/08/2025

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Role: Partner with stakeholders to understand data requirements Developing business intelligence solutions using Agile software development methodologies Develop tools and models such as segmentation, dashboards, data visualizations, decision aids and business case analysis to support the organization and leadership Producing and managing the delivery of activity and value analytics to external stakeholders and clients Team members will typically use business intelligence, data visualization, and query, analytic and statistical software to build solutions, perform analysis and interpret data Work on predominately descriptive and regression-based analytics and tend to leverage subject matter expert views in the design of their analytics and algorithms Primary Responsibilities: Management and manipulation of mostly structured data Creating business intelligence solutions using Agile methodologies to support analysis of data and subsequent decision making Conducting analysis, performing normalization operations and assuring data quality Creating specifications to bring data into a common structure Creating product specifications and reporting models Analytical - Synthesizes complex or diverse information; Collects and researches data; Uses intuition and experience to complement data; design workflows and procedures Establish, refine and integrate development and test environment tools and software as needed Identify production and non-production application issues Provide technical support and consultation on database and infrastructure questions Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s Degree in MIS, Statistics, Mathematics, Computer Science, Business or a related field 5+ years of experience in data preparation, data management, data visualization and data analysis 5+ years of experience in DWBI domain and solid understanding of DWBI concepts 5+ years of experience in PowerBI 2+ years of experience in Python 2+ years of experience working on machine learning algorithms and frameworks 2+ years of experience in natural language processing 2+ years of experience in applying AI to practical and comprehensive technology solutions Hands-on experience in DWBI domain Hands-on experience in Python Hands-on experience with dealing global customers to gather requirements and translate them into solutions using the necessary skills Extensive on-the job experience working with relational database management system (like Microsoft SQL Server, Oracle) Experience in writing TSQL statements, stored procedures and views using industry best practices for security and efficiency Experience in creating data reports, dashboards, scorecards and Metrics that matter most with extensive use of PowerBI Experience in performing data analysis and interpreting data/business insights Experience developing actionable insights and presenting recommendations for use across the internal/external stakeholder and leadership Experience in ETL and hands-on experience in using ETL tools like SSIS Experience and understanding on Database Performance Tuning, Database Management, Requirements Analysis, Software Development Fundamentals Familiar with Software Development Life Cycle Proven excellent Problem Solving, Documentation Skills, Written & Verbal Communication skills Proven excellent Data Maintenance and promoting Process Improvement skills Proven well-developed written and verbal communications and presentation skills Proven to be open for Development and Support Proven ability to write user and technical documentation Proven ability to conduct analysis to ensure quality of data at various stages of its evolution Proven ability to solve complex problems and develop innovative solutions Proven ability to complete projects that require data mining, analysis, and presentation Proven ability to create, test and execute SQL language code Proven ability to work independently with minimum support/mentoring Proven ability to learn new technology Preferred Qualifications: Experience in the health care industry Hands-on experience on ETL processes using SSIS, Netezza, Teradata etc. Experience with ML, deep learning, TensorFlow, NLP Experience in Snowflake Experience developing and maintaining data preparation and validation routines to support data mining and creating complex data mining algorithms General: This is a high visibility role requiring high energy due to the constant interaction with the customers. It’s good to have a candidate who has the below abilities: Self-driven, ability to work independently and facilitate change Ability to work in a fast-paced, technical, cross-functional environment Excellent Visual design sense regarding clear and accurate presentation of data Ability to work on projects from inception to completion Excellent critical thinking and analytical skills Ability to maintain understanding of numerous client processes Possess excellent time management and prioritization skills in order to meet multiple deadlines Comfortable working in a high-paced/high production area Desire and ability to learn new skills, systems and processes Anticipate customer needs and proactively develop solutions to meet them At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make the health system work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life's best work. SM Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

Qualifications Strong problem-solving skills with an emphasis on product development. A drive to learn and master new technologies and techniques. Experience using statistical computer languages (R, Python etc.) to manipulate data and draw insights from large data sets. Experience working with different data architectures. Knowledge and experience in statistical and data mining techniques. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Prior experience in working on zero touch solutions can be an advantage We’re looking for someone with 8-12 years of experience manipulating data sets and building statistical models, has a Bachelors or master’s in computer science or another quantitative field, and is familiar with the following software: Coding knowledge and experience with several languages Python, R Experience with Python and common data science toolkits like Jupyter, Pandas, Numpy, Scikit-learn, TensorFlow, Keras etc. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Experience in using different types of Databases - RDBMS, Graph, No-SQL etc. Strong experience in Generative AI Role & Responsibility: 1. Design production grade AI/ML solutions 2. Collaborate with verticals for AI use case discovery & solutions 3. Identify common components and enablers for AI/ML, GenAI 4. Define best practices for AI/ML development, usage and roll out 5. Hands on development of prototypes Job Type: Full-time Pay: ₹3,000,000.00 - ₹3,500,000.00 per year Application Question(s): Are you an immediate joiner? Experience: Data science: 9 years (Required) Python, R: 8 years (Required) Work Location: In person

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 Title: AI & ML Developer (Python) Company: ChicMic Studios Location: Mohali, Punjab (Hybrid Options Available) Job Type: Full-Time | 5 Days Working Experience Required: 5+ Years Immediate Joiners Preferred Job Summary: ChicMic Studios is seeking an experienced and innovative AI/ML Developer with strong expertise in Python-based web development and machine learning. The ideal candidate will have 5+ years of hands-on experience with Django, Flask , and cloud deployment on AWS , along with a solid understanding of transformer architectures , model deployment , and MLOps practices . Key Responsibilities: Develop and maintain robust web applications using Django and Flask Build and manage scalable RESTful APIs using Django Rest Framework (DRF) Deploy, manage, and optimize applications using AWS services : EC2, S3, Lambda, RDS, etc. Design and integrate AI/ML APIs into production systems Build ML models using PyTorch, TensorFlow, Scikit-learn Implement transformer architectures like BERT, GPT for NLP and vision tasks Apply model optimization techniques: quantization, pruning, hyperparameter tuning Deploy models using SageMaker, TorchServe, TensorFlow Serving Ensure high performance and scalability of deployed AI systems Collaborate with cross-functional teams to deliver scalable AI-powered products Follow clean coding practices, conduct code reviews, and stay current with AI/ML advancements Required Skills & Qualifications: Btech/ MCA 5+ years of Python development experience Expertise in Django , Flask , and DRF Solid experience deploying apps and models on AWS Proficiency in PyTorch , TensorFlow , and Scikit-learn Experience with transformer models (BERT, GPT, etc.) Strong knowledge of SQL and NoSQL databases (PostgreSQL, MongoDB) Familiarity with MLOps practices for end-to-end model management Bonus: Basic front-end skills (JavaScript, HTML, CSS) Excellent communication and problem-solving skills Why Join ChicMic Studios? Global exposure across 16+ modern tech stacks High retention culture and innovation-driven environment Opportunity to work on cutting-edge AI/ML and NLP projects EPF, Earned Leaves, Career Growth Support Hybrid/WFH flexibility for exceptional candidates To Apply: Send your resume to: disha.mehta755@chicmicstudios.in Contact: +91 98759 52834 Website: www.chicmicstudios.in Job Type: Full-time Pay: ₹800,000.00 - ₹1,800,000.00 per year Benefits: Flexible schedule Provident Fund Work from home Education: Bachelor's (Required) Experience: Python: 5 years (Required) AI: 2 years (Required) Language: English (Required) Work Location: In person

We are seeking a highly skilled and hands-on AI Architect to lead the design and deployment of next-generation AI systems for our cutting-edge platform. You will be responsible for architecting scalable GenAI and machine learning solutions, establishing MLOps best practices, and ensuring robust security and cost-efficient operations across our AI-powered modules Primary Skills: • System architecture for GenAI: design scalable pipelines using LLMs, RAG, multi‐agent orchestration (LangGraph, CrewAI, AutoGen). • Machine‐learning engineering: PyTorch or TensorFlow, Hugging Face Transformers. • Retrieval & vector search: FAISS, Weaviate, Pinecone, pgvector; embedding selection and index tuning. • Cloud infra: AWS production experience (GPU instances, Bedrock / Vertex AI, EKS, IAM, KMS). • MLOps & DevOps: MLflow / Kubeflow, Docker + Kubernetes, CI/CD, Terraform • Security & compliance: data encryption, RBAC, PII redaction in LLM prompts. • Cost & performance optimisation: token‐usage budgeting, caching, model routing. • Stakeholder communication: ability to defend architectural decisions to CTO, product, and investors.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that enhance user experiences and operational efficiency. Your role will require a blend of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence and machine learning. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with team members to design and implement AI-driven applications. - Analyze project requirements and develop appropriate AI models to meet those needs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms and services for AI deployment. - Familiarity with data preprocessing and feature engineering techniques. - Knowledge of software development best practices and version control systems. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models. - This position is based at our Bhubaneswar office. - A 15 years full time education is required. 15 years full time education

We are a cutting-edge technology company that specializes in developing innovative artificial intelligence and machine learning solutions. Our mission is to harness the power of AI to drive business growth, improve efficiency, and enhance customer experience. Job Summary: We are seeking an experienced Artificial Intelligence Engineer to join our team in Indore, Madhya Pradesh, India. As an AI Engineer, you will be responsible for designing, developing, and deploying AI and ML models to solve complex business problems. You will work closely with our data scientists, product managers, and other engineers to integrate AI into our products and services. Key Responsibilities: 1. Design and Develop AI/ML Models: Design, develop, and deploy AI/ML models using Python and other relevant technologies. Collaborate with data scientists to gather requirements, collect data, and develop models. Implement and test models using various frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). 2. Prompt Engineering: Develop and refine natural language processing (NLP) models using prompt engineering techniques. Create high-quality prompts to elicit accurate and relevant responses from AI models. Optimize prompt design to improve model performance and reduce errors. 3. Python Development: Develop and maintain Python scripts and code to support AI/ML model deployment. Utilize Python libraries and frameworks to build and integrate AI/ML models into our products. Collaborate with other engineers to ensure seamless integration with existing systems. 4. Data Preprocessing and Analysis: Collect, preprocess, and analyze data to support AI/ML model development. Clean, transform, and feature-engineer data to improve model performance. Work with data scientists to identify and address data quality issues. 5. Collaboration and Communication: Work closely with data scientists, product managers, and other engineers to integrate AI

Experience : 2 + Years Key Responsibilities: Design, develop, and deploy Machine Learning /Artificial Intelligent models to solve real-world problems in our software products. Collaborate with product managers, developers, and data engineers to define AI project goals and requirements. Clean, process, and analyze large datasets to extract meaningful patterns and insights. Implement and fine-tune models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Develop APIs and services to integrate AI models with production environments. Monitor model performance and retrain as needed to maintain accuracy and efficiency. Stay updated with the latest advancements in AI/ML and evaluate their applicability to our projects. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience with Python and ML libraries like NumPy, pandas, TensorFlow, Keras, PyTorch, Scikit-learn. Familiarity with NLP, computer vision, or time-series analysis is a plus. Experience with model deployment tools and cloud platforms (AWS/GCP/Azure) preferred. Knowledge of software engineering practices including version control (Git), testing, and CI/CD. Qualification: Prior experience working in a product-based or tech-driven startup environment. Exposure to deep learning, recommendation systems, or predictive analytics. Understanding of ethical AI practices and model interpretability Job Type: Full-time Pay: ₹12,059.95 - ₹30,307.34 per month Schedule: Day shift Work Location: In person

Join us to build cutting-edge apps with Angular & PHP. Grow, innovate, and code with a passionate team. AI/ML Intern / Fresher – Internship + Job Opportunity Company: Logical Wings Infoweb Pvt. Ltd. Location: Vadodara (On-site only) Type: Internship with Pre-placement Offer Opportunity Domain: Enterprise Software Solutions | AI-Powered Applications Role Overview: We are seeking AI/ML Interns or Freshers who are passionate about Artificial Intelligence and Machine Learning, and excited to apply their knowledge to real-world enterprise problems. You’ll gain hands-on experience, work on live projects, and have a pathway to a full-time role based on your performance. What You’ll Do: Assist in designing and developing machine learning models and AI-based solutions Work on data preprocessing, feature engineering, and model training/evaluation Collaborate with development teams to integrate AI modules into enterprise software Research and experiment with new algorithms and frameworks Help build tools for data visualization, analysis, and insights Skills & Qualifications: Solid understanding of Python and key libraries (NumPy, Pandas, Scikit-learn, etc.) Exposure to Machine Learning and Deep Learning concepts Familiarity with frameworks like flask TensorFlow, Keras, or PyTorch is a plus Addition or plus skills Work or knowledge in web related python with Django framework, Mysql Basic understanding of data structures and algorithms Curiosity, problem-solving mindset, and a willingness to learn Eligibility: Final semester students pursuing a degree in Computer Science / Data Science / Engineering OR Recent graduates with a background or strong interest in AI/ML/For Vadodara only Why Join Us? Work on cutting-edge AI solutions for enterprise clients Mentorship from experienced AI professionals Opportunity to convert to a full-time role post-internship A collaborative and innovation-driven environment How to Apply: Send your resume to: Hr@logicalwings.com Visit us at: www.logicalwings.com Note: Applications via phone calls will not be entertained. If you’re driven by data, algorithms, and the idea of solving real-world problems through AI — Logical Wings is your launchpad!

Data Science Intern Location: Remote Duration: 2-6 months Type: Unpaid Internship About Collegepur Collegepur is an innovative platform dedicated to providing students with comprehensive information about colleges, career opportunities, and educational resources. We are building a dynamic team of talented individuals passionate about data-driven decision-making. Job Summary We are seeking a highly motivated Data Science Intern to join our team. This role involves working on data collection, web scraping, analysis, visualization, and machine learning to derive meaningful insights that enhance our platform’s functionality and user experience. Responsibilities: Web Scraping: Collect and extract data from websites using tools like BeautifulSoup, Scrapy, or Selenium. Data Preprocessing: Clean, transform, and structure raw data for analysis. Exploratory Data Analysis (EDA): Identify trends and insights from collected data. Machine Learning: Develop predictive models for data-driven decision-making. Data Visualization: Create dashboards and reports using tools like Matplotlib, Seaborn, Power BI, or Tableau. Database Management: Work with structured and unstructured data, ensuring quality and consistency. Collaboration: Work with cross-functional teams to integrate data solutions into our platform. Documentation: Maintain records of methodologies, findings, and workflows. Requirements: Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field . Experience in web scraping using BeautifulSoup, Scrapy, or Selenium. Proficiency in Python/R and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Familiarity with SQL and database management. Strong understanding of data visualization tools . Knowledge of APIs and cloud platforms (AWS, GCP, or Azure) is a plus. Excellent problem-solving and analytical skills. Ability to work independently and as part of a team. Perks and Benefits: Remote work with flexible hours . Certificate of completion and Letter of Recommendation . Performance-based LinkedIn recommendations . Opportunity to work on real-world projects and enhance your portfolio . If you are passionate about data science and web scraping and eager to gain hands-on experience, we encourage you to apply! (recruitment@collegepur.com)

Are you passionate about Artificial Intelligence and Machine Learning? Start your AI/ML career with hands-on learning, real projects, and expert guidance at TechXperts! Skills Required : Technical Knowledge: • Basic understanding of Python and popular ML libraries like scikit-learn, pandas, NumPy • Familiarity with Machine Learning algorithms (Regression, Classification, Clustering, etc.) • Knowledge of Data Preprocessing, Model Training, and Evaluation Techniques • Understanding of AI concepts such as Deep Learning, Computer Vision, or NLP is a plus • Familiarity with tools like Jupyter Notebook, Google Colab, or TensorFlow/Keras is an advantage Soft Skills : • Curiosity to explore and learn new AI/ML techniques • Good problem-solving and analytical thinking • Ability to work independently and in a team • Clear communication and documentation skills What You’ll Do: • Assist in building and training machine learning models • Support data collection, cleaning, and preprocessing activities • Work on AI-driven features in real-time applications • Collaborate with senior developers to implement ML algorithms • Research and experiment with AI tools and frameworks Why Join TechXperts? • Learn by working on live AI/ML projects • Supportive mentorship from experienced developers • Exposure to the latest tools and techniques • Friendly work culture and growth opportunities

Position: AI Developer (Fresher) Company: Eoxys IT Solution Location: Jaipur Experience: 0–1 Year Qualification: BCA / MCA / B.Tech (CS/IT) Key Skills: Python programming Basics of Machine Learning & Deep Learning Familiar with TensorFlow, Keras, or PyTorch Understanding of model training/evaluation Exposure to NLP or Computer Vision (preferred) Knowledge of cloud platforms (AWS/GCP/Azure) is a plus Responsibilities: Support AI/ML model development & testing Assist in building ML pipelines Collaborate with the team for AI solution implementation Stay updated with latest tools & trends Salary: As per company standards Apply now and start your AI journey with Eoxys! Job Type: Full-time Pay: ₹7,000.00 - ₹8,000.00 per month Work Location: In person

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

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

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

Company Description Moative, an Applied AI company, designs and builds transformation AI solutions for traditional industries in energy, utilities, healthcare & lifesciences, and more. Through Moative Labs, we build AI micro-products and launch AI startups with partners in vertical markets that align with our theses. Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs. Our Team: Our team of 20+ employees consist of data scientists, AI/ML Engineers, and mathematicians from top engineering and research institutes such as IITs, CERN, IISc, University of Zurich, Ph.Ds. Our team includes academicians, IBM Research Fellows, and former founders. Role Description As a data scientist, you will lead data-driven projects, design and develop advanced analytical frameworks and AI/ML solutions to address business problems. You will collaborate with product managers, engineers and domain experts to deliver intelligent solutions and products. You’ll analyze new opportunities and ideas, evaluate new Al/ ML models/ frameworks/ platforms , conduct experiments, develop PoCs and prototypes. As a Data Scientist, you will provide your advanced expertise on statistical and mathematical concepts and guide the team in AI/ML algorithms and model development. You will stay up-to-date with the latest advancements in data science and machine learning, and AI. The ideal candidate will have a strong background in statistics, machine learning, and programming, as well as excellent business understanding and product design thinking skills. If you are passionate about data and have a proven track record of delivering impactful data solutions, we would love to hear from you. Qualifications 3 - 5 years of experience in applying data science methods to develop models that extract business value from real-world data. Deep familiarity with a range of data science methods and algorithms (time-series analysis, regression analysis, experimental design, optimization, etc.) Strong understanding of ML algorithms including areas such as deep learning, NN, NLP, and more. Experience with AI foundational models and associated architectural and solution development frameworks Proficient Knowledge of cloud platforms (e.g., AWS, Azure, GCP), ML frameworks (e.g., TensorFlow, PyTorch) and MLOps practices and platforms like MLflow. Broad understanding of data structures, data engineering and architectures. Strong communication skills and teamwork. Strong interpersonal skills, result-oriented, self-motivated, proactive, and capable of handling multiple projects. Ability to work in collaborative settings, take accountability, and stay composed under stress.

About Position: We are conducting an in-person hiring drive for the position of GenAI Engineer in Pune & Bengaluru on 2nd August 2025. Interview Location is mentioned below: Pune: Persistent Systems, Veda Complex, Rigveda-Yajurveda-Samaveda-Atharvaveda Plot No. 39, Phase I, Rajiv Gandhi Information Technology Park, Hinjawadi, Pune, 411057 Bangalore: Persistent Systems, The Cube at Karle Town Center Rd, DadaMastan Layout, Manayata Tech Park, Nagavara, Bengaluru, Karnataka 560024 The ideal candidate will have a strong background in working with GEN AI , ML ,LangChain, LangGraph, Microservices (Fast API), Prompt engineering. You will work closely with our data analysts, engineers, and business teams to ensure optimal performance, scalability, and availability of our data pipelines and analytics. Role: GenAI Engineer Job Location: All PSL Locations Experience: 4 Years-12 Years Job Type: Full Time Employment What You'll Do: Develop and fine-tune LLMs for real-world use cases Build and optimize RAG pipelines using Langchain or similar tools Integrate GenAI capabilities into enterprise applications Hands on Python coding exp Work with vector databases and embedding techniques Collaborate with cross-functional teams on AI-driven features We’re looking for a skilled engineer with hands-on experience in LLMs, LangChain, and chatbot development. Expertise You'll Bring: 4+ years of experience working with data science. Strong Python skills and familiarity with TensorFlow, PyTorch, and scikit-learn are essential Basic understanding of Flask, Django, or FastAPI is a plus. Strong analytical, problem-solving, and troubleshooting skills. Ability to work independently and in a collaborative team environment. Cloud deployment knowledge on AWS, Azure, or GCP is a must. You’ll work on real-world GenAI applications in a collaborative, fast-paced environment. Stay updated with the latest in GenAI and contribute to innovative solutions. Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry’s best Let’s unleash your full potential at Persistent “Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

Job Description: We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 4 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities: Develop and implement machine learning models and algorithms. Work closely with project stakeholders to understand requirements and translate them into deliverables. Utilize statistical and machine learning techniques to analyze and interpret complex data sets. Stay updated with the latest advancements in AI/ML technologies and methodologies. Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills: Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack, NLP using python Strong knowledge and experience in Generative AI/ LLM based development. Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data – including indexing, search, and advance retrieval patterns. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with version control systems (e.g., Git, CodeCommit). Good to have Skills Knowledge and Experience in building knowledge graphs in production. Understanding of multi-agent systems and their applications in complex problem-solving scenarios.