5534 Data Science Jobs - Page 34

Job Opening: Generative AI & LLMs / Distinguished Gen AI Engineer Location: Remote Experience: 8+ years 8+ years in data science or AI, with hands-on with LLMs or Gen AI in production settings. share resume to sandhya@welkinsofttrech.com

Position: Senior Data Scientist Experience: 5+ years Location: Chennai, Hyderabad, Bangalore Work Mode : 5 days work from office Role Summary We are looking for a seasoned Data Scientist to lead the development of data-driven solutions that drive strategic decision-making. You will work closely with business stakeholders, engineers, and analysts to uncover insights, build predictive models, and deploy scalable data products. Key Responsibilities Analyze large, complex datasets to extract actionable insights and trends. Design and implement machine learning models and statistical algorithms. Collaborate with cross-functional teams to define data strategies and KPIs. Develop data pipelines and automate data collection and preprocessing. Communicate findings through compelling visualizations and presentations. Mentor junior data scientists and contribute to best practices in data science. Required Skills Proficiency in Python, R, and SQL. Strong grasp of statistics, machine learning, and data modeling techniques. Experience with tools like Scikit-learn, TensorFlow, PyTorch, or Spark. Familiarity with cloud platforms (AWS, Azure, or GCP). Expertise in data visualization tools (e.g., Tableau, Power BI, Plotly). Ability to translate business problems into analytical solutions

Role & responsibilities Building a Prompt Engineers Team requires a thoughtful approach that balances technical expertise, domain knowledge, and creativity. Heres a step-by-step plan to help you build an effective team: Step-by-Step Guide to Building a Prompt Engineering Team 1. Define the Purpose and Scope Start with clarity on: • Why you need a prompt engineering team (e.g., to improve chatbot accuracy, optimize RAG pipelines, generate content, automate processes). • Where prompts will be applied (e.g., customer support, legal research, code generation, marketing content). • What models/tools youre using (e.g., OpenAI GPT-4, Claude, Mistral, LangChain, LlamaIndex, Pinecone, etc.). 2. Identify Key Roles to Hire You dont need only prompt writers — build a balanced team. Typical roles include: Core Prompt Engineers • Focused on crafting, testing, and refining prompts • Excellent with language, logic, and experimentation NLP/LLM Engineers • Technical experts who understand model internals, fine-tuning, embeddings, and vector search • Useful if you’re building complex RAG or multi-agent systems Creative Writers or UX Writers (Optional) • Can write natural, engaging, or persuasive prompts especially for customer-facing apps or content generation Evaluation & QA Specialists • Test prompt outputs for accuracy, bias, safety, and relevance • Help benchmark performance 3. Create a Hiring Strategy Look for Candidates Who: • Understand LLM behavior and limitations • Have experience with OpenAI, Claude, or open-source models • Are comfortable with both creative writing and logical reasoning • Can iterate based on output quality Where to Find Them: • AI/NLP communities on Twitter, Discord (e.g., EleutherAI, LangChain) • LinkedIn with filters like: “Prompt Engineer,” “LLM Developer,” “NLP Engineer” • Platforms like GitHub (search AI prompt repositories), Kaggle, Upwork, Toptal 4. Set Up Your Tech Stack Equip the team with: • LLM Access: OpenAI API, Anthropic, HuggingFace, Cohere • Prompt Testing Tools: PromptLayer, LangSmith, PromptPerfect, Flowise • RAG Stack (if needed): LangChain, LlamaIndex, Chroma, Weaviate, Pinecone • Version Control: GitHub + prompt libraries • Prompt Analytics/Logging: To track changes, feedback loops, hallucinations, and success rates 5. Define a Workflow • Prompt Design Test Evaluate Refine Deploy Monitor • Use prompt templates (Few-shot, Chain-of-Thought, ReAct, etc.) • Implement CI for prompt validation if prompts are part of codebase 6. Build a Knowledge Base Document: • Prompt templates and examples • What works well (prompt tuning guides) • Failure cases and anti-patterns • Team learnings, A/B test results, and prompt libraries 7. Encourage Experimentation LLMs are probabilistic — experimentation is critical. Create a culture where: • Engineers test various prompt formats and model behaviors • Insights are shared internally • Prompt quality is benchmarked over time Preferred candidate profile Bonus: Team Composition Example (Startup Scale) Role Count Notes Prompt Engineer 2 NLP-aware, skilled with prompt design & LLMs NLP/LLM Developer 1 Can build pipelines, evaluate embeddings, tune models QA / Evaluator 1 Reviews and scores AI output for relevance, tone, accuracy Creative Writer (Optional) 1 Especially useful for marketing, support, or storytelling prompts Final Tip: Your first hires should be T-shaped people – with deep LLM experience but broad enough to collaborate across engineering, product, and UX.

Head of Data Science Experience: 12+ years Salary: Highly Competitive Preferred Notice Period : Within 30 Days Opportunity Type: Hybrid (Bengaluru) Placement Type: Full-time (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Data Science OR Subject Matter Expertise AND Industrial Software OR Oil & Gas, Power, or Chemicals AND SaaS UptimeAI (One of Uplers' Clients) is looking for: About UptimeAI: UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would. Role: Head of Data Science Industry Subject Matter Expertise (SME) Oil & Gas / Power Location: Bangalore, India Experience: 15+ years Department: Data Science Role Overview: We are seeking a highly experienced Data Science Leader with strong domain expertise in Oil & Gas, Power Generation, or Process Industries, combined with deep exposure to Data Science, AI/ML, and Industrial Software. The ideal candidate will play a critical role in shaping and guiding the development of data-driven B2B SaaS solutions for industrial applications, leveraging deep operational insight and advanced analytics. Key Responsibilities: Lead AI/ML teams to design solutions that align with real-world industrial use cases Provide domain expertise and strategic guidance in Oil & Gas, Power, or Chemicals to product, engineering, and data science teams Define product requirements and influence roadmap based on domain knowledge and market needs Serve as a thought leader in industrial IoT, predictive maintenance, asset management, and reliability engineering Support GTM teams in customer discussions, industry presentations, and positioning of the product offering Lead knowledge transfer, training, and mentoring for internal teams on industry-specific processes and pain points Qualifications: 15+ years of total experience, with at least the last 5 years in a senior leadership role leading Data Science initiatives. Mandatory: Extensive experience in manufacturing operations within Oil & Gas, Power Generation, or Chemicals Proven track record in developing and launching B2B SaaS products for industrial environments Strong understanding of industrial IoT, predictive analytics, Process Optimization, machine learning, and digital transformation Hands-on experience with Data Science / AI / ML teams Familiarity with industrial asset management, maintenance operations, and reliability engineering Excellent communication skills with the ability to bridge the gap between business and technical stakeholders Preferred: MBA or relevant advanced technical degree (e.g., Engineering, Data Science, Operations Research) Nice to Have: Global exposure across different geographies and regulatory environments Prior experience working with digital twins, SCADA, CMMS, or EAM systems Published thought leadership or public speaking experience at industry forums Why to join UptimeAI: Impact Industry-Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients. Collaborative and Growth-Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth. Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AI solutions. How to apply for this opportunity? Easy 3 Step Process: Click On Apply and register or log in to our portal Upload updated Resume & complete the Screening Form Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) 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!

Job description: We are having a F2F weekend drive for the requirement of a Data Scientist + Gen AI at our LTIM Pune- Shivajinagar office. Date - 26th July 2025 Experience - 6+ Years Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS, AI/ML, NLP Location - LTIMindtree Pune- Shivajinagar Office. Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment. Generic JD- More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen.

Let s do this. Let s change the world. In this vital role We are seeking a skilled UI Developer to design, develop, and maintain high-quality, scalable software solutions. Contribute to a team delivering complex software projects from conception to deployment , managing scope, risk, and timelines. Rapidly prototype and translate concepts into functional code. Develop responsive, user-friendly UIs using React.js, JavaScript, TypeScript, HTML5, and CSS . Ensure UI accessibility and performance optimization through standard processes. Conduct code reviews and document software architecture and design. Develop and integrate with RESTful APIs, databases (MySQL, PostgreSQL, SQL Server) , and cloud platforms (AWS, Azure) . Implement testing strategies (unit, integration, UI testing with Jest, Enzyme, Cypress). Automate operations, monitor system health, and respond to incidents to minimize downtime. Collaborate with cross-functional teams including Product, Design, and QA. Customize modules and ensure seamless data flow and system integrations. Stay current with industry trends and recommend technology improvements. What we expect of you We are all different, yet we all use our unique contributions to serve patients. This role involves working closely with product managers, designers, and engineers to build and optimize UI applications, leveraging cloud technology and generative AI . The ideal candidate will be proficient in front-end development, have strong problem-solving abilities, and contribute to system performance, automation, and integration efforts. Basic Qualifications: Master s degree and 1 to 3 years expereince in Computer Science, Data Science, Information Systems, or related field OR Bachelor s degree and 3 to 5 years of in Computer Science, Data Science, Information Systems, or related field OR Diploma and 7 to 9 years of in Computer Science, Data Science, Information Systems, or related field Preferred Qualifications: Technical leadership in agile environments . Strong understanding of software development methodologies (Agile, Scrum). Excellent problem-solving, communication, and collaboration skills. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

We are seeking a highly skilled and experienced Principal AI Solution Architect to join our dynamic team. The candidate will lead the AI Solutioning and Designing across Enterprise Teams and cross-functional teams. They will primarily be working with the MDM CoE to lead and drive AI solutions and optimizations and also provide thought leadership. The role involves developing and implementing AI strategies, collaborating with cross-functional teams, and ensuring the scalability, reliability, and performance of AI solutions. To succeed in this role, the candidate must have strong AI/ML, Data Science , GenAI experience along with MDM knowledg . Candidate must have AI/ML, data science and GenAI experience on technologies like ( PySpark / PyTorch , TensorFlow, LLM , Autogen , Hugging FaceVectorDB , Embeddings, RAGs etc ), along with knowledge of MDM (Master Data Management) Roles & Responsibilities: Lead the Designing, solutioning and development of enterprise-level GenAI applications using LLM frameworks such as Langchain , Autogen , and Hugging Face. Architect intelligent pipelines using PySpark , TensorFlow, and PyTorch within Databricks and AWS environments. Implement embedding models and manage VectorStores for retrieval-augmented generation (RAG) solutions. Integrate and leverage MDM platforms like Informatica and Reltio to supply high-quality structured data to ML systems. Utilize SQL and Python for data engineering, data wrangling, and pipeline automation. Build scalable APIs and services to serve GenAI models in production. Lead cross-functional collaboration with data scientists, engineers, and product teams to scope, design, and deploy AI-powered systems. Ensure model governance, version control, and auditability aligned with regulatory and compliance expectations. Basic Qualifications and Experience: Master s degree with 11 - 1 4 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR Bachelor s degree with 1 5 - 16 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR Diploma with 1 7 - 1 8 years of hands-on experience in Data Science, AI/ML technologies, or related technical domains Functional Skills: Must-Have Skills: 1 4 + years of experience working in AI/ML or Data Science roles, including designing and implementing GenAI solutions. Extensive hands-on experience with LLM frameworks and tools such as Langchain , Autogen , Hugging Face, OpenAI APIs, and embedding models. Expertise in AI/ML solution architecture and design , knowledge of industry best practices Experience desining GenAI based solutions using Databricks platform Hands-on experience with Python, PySpark , PyTorch , LLMs, Vector DB, Embeddings, SciKit , Langchain , SK-learn, Tensorflow , APIs, Autogen , VectorStores , MongoDB, DataBricks , Django Strong knowledge of AWS and cloud-based AI infrastructure Excellent problem-solving skills Strong communication and leadership skills Ability to collaborate effectively with cross-functional teams and stakeholders Experience in managing and mentoring junior team members Must be able to p rovide thought leadership to the junior team members Good-to-Have Skills: Prior experience in Data Modeling, ETL development, and data profiling to support AI/ML workflows. Working knowledge of Life Sciences or Pharma industry standards and regulatory considerations. Proficiency in tools like JIRA and Confluence for Agile delivery and project collaboration. Familiarity with MongoDB, VectorStores , and modern architecture principles for scalable GenAI applications. Professional Certifications : Any Data Analysis certification (SQL , Python, Other DBs or Programming languages ) Any cloud certification (AWS or AZURE) Data Science and ML Certification s Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams

We are seeking an accomplished and visionary Data Scientist/ GenAI Lead to join Amgen s Enterprise Data Management team. As MDM Data Science/Manager, you will lead the design, development, and deployment of Generative AI and ML models to power data-driven decisions across business domains. This role is ideal for an AI practitioner who thrives in a collaborative environment and brings a strategic mindset to applying advanced AI techniques to solve real-world problems. To succeed in this role, the candidate must have strong AI/ML, Data Science , GenAI experience along with MDM knowledge, hence the candidates having only MDM experience are not eligible for this role. Candidate must have AI/ML, data science and GenAI experience on technologies like ( PySpark / PyTorch , TensorFlow, LLM , Autogen , Hugging FaceVectorDB , Embeddings, RAGs etc ), along with knowledge of MDM (Master Data Management) Roles & Responsibilities: Drive development of enterprise-level GenAI applications using LLM frameworks such as Langchain , Autogen , and Hugging Face. Architect intelligent pipelines using PySpark , TensorFlow, and PyTorch within Databricks and AWS environments. Implement embedding models and manage VectorStores for retrieval-augmented generation (RAG) solutions. Integrate and leverage MDM platforms like Informatica and Reltio to supply high-quality structured data to ML systems. Utilize SQL and Python for data engineering, data wrangling, and pipeline automation. Build scalable APIs and services to serve GenAI models in production. Lead cross-functional collaboration with data scientists, engineers, and product teams to scope, design, and deploy AI-powered systems. Ensure model governance, version control, and auditability aligned with regulatory and compliance expectations. Basic Qualifications and Experience: Master s degree with 8 - 10 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR Bachelor s degree with 10 - 14 years of experience in Data Science, Artificial Intelligence, Computer Science, or related fields OR Diploma with 14 - 16 years of hands-on experience in Data Science, AI/ML technologies, or related technical domains Functional Skills: Must-Have Skills: 10+ years of experience working in AI/ML or Data Science roles, including designing and implementing GenAI solutions. Extensive hands-on experience with LLM frameworks and tools such as Langchain , Autogen , Hugging Face, OpenAI APIs, and embedding models. Strong programming background with Python, PySpark , and experience in building scalable solutions using TensorFlow, PyTorch , and SK-Learn. Proven track record of building and deploying AI/ML applications in cloud environments such as AWS. Expertise in developing APIs, automation pipelines, and serving GenAI models using frameworks like Django, FastAPI , and DataBricks . Solid experience integrating and managing MDM tools (Informatica/Reltio) and applying data governance best practices. Guide the team on development activities and lead the solution discussions Must have core technical capabilities in GenAI , Data Science space Good-to-Have Skills: Prior experience in Data Modeling, ETL development, and data profiling to support AI/ML workflows. Working knowledge of Life Sciences or Pharma industry standards and regulatory considerations. Proficiency in tools like JIRA and Confluence for Agile delivery and project collaboration. Familiarity with MongoDB, VectorStores , and modern architecture principles for scalable GenAI applications. Professional Certifications : Any ETL certification ( e.g. Informatica) Any Data Analysis certification (SQL) Any cloud certification (AWS or AZURE) Data Science and ML Certification Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams

Specialist IS Engineer for GEN AI solutions across various Process Development functions(Drug Substance, Drug Product, Attribute Sciences & Combination Products) in Operations functions is responsible for building cutting edge GEN AI solutions. The role involves working closely with Data Scientists developing, implementing and sustaining GEN AI solutions to help find relevant, actionable information quickly and accurately. Roles & Responsibilities: Possesses strong rapid prototyping skills and can quickly translate concepts into working code Conduct code reviews to ensure code quality and adherence to best practices. Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations. Identify and resolve technical challenges effectively. Stay updated with the latest trends and advancements Work closely with product teams, business team, and other key partners. Design, develop, and deploy applications that use LLMs like OpenAI GPT Build and maintain MLOps pipelines, including data ingestion, chunking, vectorization, feature engineering, model training, deployment, and monitoring Design, fine-tuning, and optimization of state-of-the-art LLMs for various applications, focusing on both performance and accuracy Implement DevOps/MLOps/LLMOps standard methodologies to automate ML workflows and improve efficiency. Develop and implement monitoring systems to track model performance and identify issues. Conduct testing and experimentation to optimize model performance. Review code and maintain strong standards and practices on the team Work closely with data scientists, engineers, and product teams to deliver ML solutions. Stay updated with the latest trends and advancements What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Doctorate Degree OR Master s degree with 4 - 6 years of experience in Software Engineering, Data Science or Machine Learning Engineering OR Bachelor s degree with 6 - 8 years of experience in I Software Engineering, Data Science or Machine Learning Engineering OR Diploma with 10 - 12 years of experience in Software Engineering, Data Science or Machine Learning Engineering Great foundation in machine learning algorithms and techniques Must-Have Skills: Expertise in Python and relevant ML libraries (e.g., Langchain, TensorFlow, PyTorch) Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops Excellent problem-solving skills and the ability to work with large, complex datasets. Experience in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models. Experience in processing and leveraging unstructured data for GenAI applications Proven experience working with large language models (e.g., OPEN AI, LLAMA.). Experience in building, testing, and deploying machine learning models, particularly large language models, troubleshoot and optimize models. Experience in using cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment Preferred Qualifications: Solid understanding of Machine Learning (ML) workflows including ingesting, analyzing, transforming data and evaluating results to make meaningful predictions. Design, test, and deploy machine learning models, including LLMs, and develop scalable pipelines for both batch and real-time use cases. Professional Certifications: Machine Learning Certification (preferred on Databricks or Cloud environments). SAFe for Teams certification (preferred). Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Equal opportunity statement

Let s do this. Let s change the world. We are seeking a Principal AI/ML Engineer (Agents and Agentic Design) to drive innovation in AI/ML and agent-based system design at Amgen. This role is integral to advancing the organizations AI strategy by developing intelligent, scalable, and secure multi-agent systems. The Principal AI/ML Engineer will be responsible for leading technical innovation, mentoring AI/ML teams, and integrating agent-based solutions into enterprise platforms. The key aspects of this role involve: Prior hands-on experience designing and implementing sophisticated AI/ML systems with multiple interacting agents. Leadership experience in guiding AI/ML teams and setting strategic direction for agent-based frameworks. Delivering AI/ML solutions that enhance efficiency, scalability, and business value across enterprise-level platforms. Roles & Responsibilities: AI/ML Thought Leadership & Mentorship: Mentor and provide thought leadership for AI/ML engineers and data scientists, enabling continuous technical growth in agentic design, reinforcement learning, and AI standard methodologies. Agent-Based System Development: Design, implement, and optimize multi-agent AI/ML systems that enhance automation, decision-making, and system efficiency. Strategic Framework Development: Define and set the direction for AI/ML frameworks that enable scalable and robust agentic solutions. Enterprise-Level Integration: Work closely with multi-functional teams to integrate agent-based solutions into Amgen s enterprise platforms, aligning AI strategies with business objectives. Technical Innovation & Research: Stay at the forefront of AI/ML advancements, exploring and implementing new methodologies such as reinforcement learning, active learning, and RLHF to drive continuous improvement. Cross-Functional Collaboration: Partner with leadership, product teams, and other collaborators to identify AI opportunities, streamline implementations, and align AI/ML strategies with company goals. Quality & Performance Assurance: Ensure that AI solutions meet enterprise-scale performance, security, and reliability standards, while maintaining detailed documentation for long-term scalability. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master s degree and 8 to 10 years of AI, machine learning, and/or data science experience OR Bachelor s degree and 10 to 14years of AI, machine learning, and/or data science experience OR Diploma and 14 to 18 years ofAI, machine learning, and/or data science experience Proven expertise in designing and implementing AI/ML systems with multiple interacting agents. Demonstrated experience in reinforcement learning, active learning, and RLHF methodologies. Strong background in authoring and managing highly complex technical documentation at an enterprise level. Extensive experience in AI/ML system design, with a focus on multi-agent interactions and agentic design. Deep familiarity with agent-based modeling tools and frameworks. Proficiency in reinforcement learning, active learning, and RLHF methodologies. Strong background in developing scalable AI architectures, ensuring robustness, efficiency, and security. Experience with enterprise-scale AI/ML deployments and integrating agent-based solutions into business processes. Knowledge of cloud-based AI/ML frameworks and tools for large-scale model training and deployment. Preferred Qualifications: Familiarity with data security and privacy regulations as they pertain to AI/ML applications. Experience in writing and managing complex technical documentation at an enterprise level. Strong project management skills with a track record of delivering AI-driven initiatives on time and within scope. Soft Skills: Leadership & Vision: Ability to inspire and guide teams toward achieving AI/ML innovation and excellence. Strategic Thinking: Capable of developing and implementing long-term AI strategies that align with business needs. Collaboration: Proven experience working across different teams and subject areas to drive AI/ML integration. Communication: Ability to convey complex AI/ML concepts to both technical and non-technical collaborators. Adaptability: A forward-thinking approach that embraces emerging AI technologies and evolving industry trends. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Let s do this. Let s change the world. In this vital role you will collaborate with business partners, service owners and IS peers to develop predictive models and insights across the US Commercial Organization. This position will innovate and build significant business impact through the use of sophisticated analytics techniques to help Amgen with its mission to serve patients by helping them get the therapies they need. Flexible Commuter role to Amgen India office. You will work on-site 2-3 days a week. This position will be primarily responsible for: Working collaboratively with multi-functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value for Amgen and our patients Identifying business needs and proposing potential analytics approaches for solutions Crafting and deploying a framework to supervise the performance of various campaigns, and tactics at a granular level Leading measurement and tracking of various omnichannel CX enablement initiatives Supporting the development of data science, machine learning prototypes, proof of concepts and models for testing various omnichannel strategies Communicating analysis ideas, progress and results to leadership and business partners What we expect of you We are all different, yet we all use our unique contributions to serve patients. Doctorate degree OR Master s degree and 4 to 6 years of data science and/or analytics experience OR Bachelor s degree and 6 to 8 years of data science and/or analytics experience OR Diploma and 10 to 12 years of data science and/or analytics experience Preferred Qualifications: Relevant work experience in campaign measurement, marketing analytics and resource optimization in the pharma domain Programming experience with Python, R, or SAS and experience with ML libraries like scikit-learn, MLib, or TensorFlow Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.) is a plus Ability to communicate analysis in a clear, detailed, and practical manner Passion for learning and staying on top of current developments in sophisticated analytics Biotech / Pharma experience What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans comprising health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities including: Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan Stock-based long-term incentives Award-winning time-off plans and bi-annual company-wide shutdowns Flexible work models, including remote work arrangements, where possible

The Associate Director, Product Management Operations is a strategic and operational leadership role responsible for advancing Amgen s Product Management practice in India. This role will own the development and scaling of the practice while also serving as a people manager for Product Managers and Business Analysts. You ll set the direction for how product management is practiced, embedded, and matured across teams. While you ll be accountable for coaching and strategy, you re expected to stay close to the work hands-on when needed to support key initiatives, drive clarity, or unblock delivery. In addition to core product responsibilities, this role will also provide leadership oversight for Agile PMO and Business Performance areas. Two Senior Managers will lead these functions directly, and while they will own the execution, the Associate Director will guide overall alignment, ensure integration with broader priorities, and act as the key connection point across teams. This position is based in India and works in close alignment with U.S.-based Capability Leads, providing a critical bridge between global strategy and regional execution. Key Responsibilities Practice Leadership Lead the evolution and execution of Product Management practices across the India capability center. Define and promote modern product management principles, tools, and standards. Champion customer-centricity, measurable outcomes, and lean experimentation across product teams. Collaborate with global Capability Leads to align practices and ensure consistency in delivery. Serve as a thought partner and advisor to product teams on roadmaps, prioritization, and go-to-market approaches. Step into delivery as needed whether shaping product direction, validating user needs, or supporting product discovery. People Leadership Manage a growing team of Product Managers and Business Analysts. Foster a high-performance culture grounded in growth, accountability, and collaboration. Coach team members on craft, delivery, and stakeholder engagement. Lead hiring, onboarding, and talent development efforts for the product function in India. Cross-Functional Collaboration Partner with U.S. Capability Leads and cross-functional teams across engineering, data science, and business functions. Align product team efforts with enterprise goals and capability roadmaps. Ensure strong stakeholder relationships and feedback loops across time zones and geographies. Agile PMO and Business Performance Provide leadership alignment and coordination across Agile PMO and Business Performance functions. Partner with Sr. Managers to ensure effective planning, delivery tracking, and portfolio performance insights. Serve as the primary point of contact for these functions within the India leadership team and with U.S. counterparts. Basic Qualifications 16 to 20 years of experience in Information/Tech Systems Preferred Experience & Skills 6-8+ years in a senior product management or product leadership role, ideally with practice ownership. Experience defining and scaling product management capabilities in a matrixed organization. Hands-on experience in product discovery, roadmap planning, and cross-functional delivery. Familiarity with data and AI products, and ability to operate in highly technical environments. Skilled in Agile/ SAFe methodologies and product operating models. Strong communication and influencing skills across technical and business audiences. Experience working with globally distributed teams; biotech/pharma experience is a plus. Soft Skills Strong balance of strategic thinking and willingness to roll up sleeves when needed. Confident and clear communicator who builds trust quickly. Effective at balancing structure with flexibility in dynamic environments. Team-first mindset with a commitment to shared success. What You Can Expect from Us You ll be part of a growing and globally connected product organization focused on unlocking the value of data and AI for healthcare innovation. Amgen offers a supportive environment, competitive rewards, and a strong focus on personal and professional development.

2 - 11 Years Full Time Roles and Responsibilities Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learning models used for text, image, or multimodal generation. Work with extensive and complex datasets, performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training. Collaborate with cross-functional teams (e.g., product, engineering, data science) to identify project objectives and create solutions using generative AI tailored to business needs. Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resource utilization. Develop pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production. Stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability. Document and communicate technical specifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis on explainability and responsible AI practices. Qualifications Required Educational Background : Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. Relevant Ph.D. or research experience in generative AI is a plus. ? Experience : 2 - 11 Years of experience in machine learning, with 2+ years in designing and implementing generative AI models or working specifically with transformer-based models. Skills and Experience Required Generative AI : Transformer Models, GANs, VAEs, Text Generation, Image Generation Machine Learning : Algorithms, Deep Learning, Neural Networks Programming : Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, TensorFlow MLOps : Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure) ? Data Engineering : Data Preprocessing, Feature Engineering, Data Cleaning Why you'll love working with us: BRING YOUR PASSION AND FUN . Corporate culture woven from highly diverse perspectives and insights. BALANCE WORK AND PERSONAL TIME LIKE A BOSS . Resources and flexibility to more easily integrate your work and your life. BECOME A CERTIFIED SMARTY PANTS . Ongoing training and development opportunities for even the most insatiable learner. START-UP SPIRIT (Good ten plus years, yet we maintain it) FLEXIBLE WORKING HOURS

Data scientists at Thoughtworks are responsible for leading and executing data science projects. They employ their profound expertise in statistics, modeling, machine learning algorithms and data mining methodologies. They integrate this expertise with a comprehensive understanding of related domains to render business value and illuminate data-driven insights, facilitating clear and effective decision-making processes. Their responsibilities encompass devising strategies, executing plans, operationalizing solutions and articulating the tangible business outcomes achieved. Collaborating with cross-functional teams is pivotal, as they adeptly convey their discoveries 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 lead and manage data science projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality for enabling AI and machine learning You will be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues You will design, develop and implement data science strategies that drive measurable business results You will design experiments for the team to rapidly test ideas and assumptions, and identify future courses of action You will use quality metrics to select machine learning models that will be deployed in the production environment You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind You will contribute to the growth of the data science community along with promoting a culture of data literacy within the organization You will address ethical concerns and adhere to ethical guidelines using FATTER AI (fairness, accountability, transparency, trustworthiness, explainability, responsibility) You will work with CD4ML practices and data versioning tools Job qualifications Technical Skills You have experience in leading the analysis and modeling of different datasets and overseeing an inception to deploying and productionizing the models You have experience with statistical modeling, hypothesis testing, 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 a speciality with at least one of them (i.e.: NLP/computer vision/Generative AI, etc)tc) 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 ensure compliance with 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 dont 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 You are a proven leader with a track record of encouraging teammates in their professional development and relationships Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business

Roles and Responsibilities Design, develop, and deploy advanced AI models with a focus on generative AI, including transformer architectures (e.g., GPT, BERT, T5) and other deep learning models used for text, image, or multimodal generation. Work with extensive and complex datasets, performing tasks such as cleaning, preprocessing, and transforming data to meet quality and relevance standards for generative model training. Collaborate with cross-functional teams (e.g., product, engineering, data science) to identify project objectives and create solutions using generative AI tailored to business needs. Implement, fine-tune, and scale generative AI models in production environments, ensuring robust model performance and efficient resource utilization. Develop pipelines and frameworks for efficient data ingestion, model training, evaluation, and deployment, including A/B testing and monitoring of generative models in production. Stay informed about the latest advancements in generative AI research, techniques, and tools, applying new findings to improve model performance, usability, and scalability. Document and communicate technicals pecifications, algorithms, and project outcomes to technical and non-technical stakeholders, with an emphasis on explainability and responsible AI practices. Qualifications Required Educational Background: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. Relevant Ph.D. or research experience in generative AI is a plus. Experience: 8-12 years of experience in machine learning, with 2+ years in designing and implementing generative AI models or working specifically with transformer-based models. Skills and Experience Required GenerativeAI: Transformer Models, GANs, VAEs, Text Generation, Image Generation Machine Learning: Algorithms, Deep Learning, Neural Networks Programming: Python, SQL; familiarity with libraries such as Hugging Face Transformers, PyTorch, Tensor Flow MLOps: Docker, Kubernetes, MLflow, Cloud Platforms (AWS, GCP, Azure) Data Engineering: Data Preprocessing, Feature Engineering, Data Cleaning Why you'll love working with us: Opportunity to work on technical challenges with global impact. Vast opportunities for self-development, including online university access and sponsored certifications. Sponsored Tech Talks &Hackathons to foster innovation and learning. Generous benefits package including health insurance, retirement benefits, flexible work hours, and more.

upstox is looking for Data Science Intern to join our dynamic team and embark on a rewarding career journey Assist in data science projects and activities Conduct data analysis and visualization Develop and implement data science models and algorithms Monitor and report on data science performance metrics Collaborate with data science teams to optimize operations Gain practical experience in data science

Responsibilities Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Requirements and skills Proven experience as a Data Scientist Experience in data mining Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. PowerBI) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills

Notice Period : Early joiners A Generative AI Developer specializing in Azure-based chatbot development is responsible for designing, building, and deploying AI-powered conversational agents using Microsoft Azure AI services . They leverage natural language processing (NLP), large language models (LLMs), and cloud-based AI tools to create chatbots that enhance user experience and automate interactions. Key Responsibilities Design and develop AI-powered chatbots using Azure OpenAI, Azure Bot Service, and Cognitive Services. Implement natural language understanding (NLU) and natural language generation (NLG) for intelligent conversation handling. Fine-tune GPT-based models and integrate them with business applications. Optimize chatbot performance by training models, improving responses, and handling edge cases. Deploy and manage chatbots using Azure Machine Learning, Azure Functions, and Kubernetes. Integrate chatbots with databases, APIs, and enterprise applications (e.g., Dynamics 365, Microsoft Teams, or custom apps). Ensure chatbot security, compliance, and scalability in Azure cloud environments. Monitor chatbot analytics using Azure Monitor, Application Insights, and Power BI.

Job Description: Job Title- Data Science Engineer, VP Location- Bangalore, India Role Description We are seeking a seasoned Data Science Engineer to spearhead the development of intelligent, autonomous AI systems. The ideal candidate will have a robust background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves designing and deploying AI solutions that leverage Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. What we ll offer you As part of our flexible scheme, here are just some of the benefits that you ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Design & Develop Agentic AI Applications: Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Implement RAG Pipelines: Integrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. Fine-Tune Language Models: Customise LLMs (e.g., Gemini, chatgpt, Llama) and SLMs (e.g., Spacy, NLTK) using domain-specific data to improve performance and relevance in specialised applications. NER Models: Train OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge Graphs: Construct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. Collaborate Cross-Functionally: Work with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimise AI Workflows: Employ MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring. Your skills and experience 13+ years of professional experience in AI/ML development, with a focus on agentic AI systems. Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). Experience with LLMs (e.g., GPT-4), SLMs (Spacy), and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. Familiarity with MLOps tools and practices for continuous integration and deployment. Skilled in building and querying knowledge graphs using tools like Neo4j. Hands-on experience with vector databases and embedding techniques. Familiarity with RAG architectures and hybrid search methodologies. Experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce. Strong problem-solving abilities and analytical thinking. Excellent communication skills for cross-functional collaboration. Ability to work independently and manage multiple projects simultaneously. How we ll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

Job Description: Job Title- Data Science Engineer, AS Location- Bangalore, India Role Description We are seeking a Data Science Engineer to contribute to the development of intelligent, autonomous AI systems The ideal candidate will have a strong background in agentic AI, LLMs, SLMs, vector DB, and knowledge graphs. This role involves deploying AI solutions that leverage Retrieval-Augmented Generation (RAG) Multi-agent frameworks Hybrid search techniques to enhance enterprise applications. What we ll offer you As part of our flexible scheme, here are just some of the benefits that you ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Design & Develop Agentic AI Applications: Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. Implement RAG Pipelines: Integrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. Fine-Tune Language Models: Customise LLMs (e.g., Gemini, chatgpt, Llama) and SLMs (e.g., Spacy, NLTK) using domain-specific data to improve performance and relevance in specialised applications. NER Models: Train OCR and NLP leveraged models to parse domain-specific details from documents (e.g., DocAI, Azure AI DIS, AWS IDP) Develop Knowledge Graphs: Construct and manage knowledge graphs to represent and query complex relationships within data, enhancing AI interpretability and reasoning. Collaborate Cross-Functionally: Work with data engineers, ML researchers, and product teams to align AI solutions with business objectives and technical requirements. Optimise AI Workflows: Employ MLOps practices to ensure scalable, maintainable, and efficient AI model deployment and monitoring. Your skills and experience 4+ years of professional experience in AI/ML development, with a focus on agentic AI systems. Proficient in Python, Python API frameworks, SQL and familiar with AI/ML frameworks such as TensorFlow or PyTorch. Experience in deploying AI models on cloud platforms (e.g., GCP, AWS). Experience with LLMs (e.g., GPT-4), SLMs (Spacy), and prompt engineering. Understanding of semantic technologies, ontologies, and RDF/SPARQL. Familiarity with MLOps tools and practices for continuous integration and deployment. Skilled in building and querying knowledge graphs using tools like Neo4j. Hands-on experience with vector databases and embedding techniques. Experience in developing AI solutions for specific industries such as healthcare, finance, or e-commerce. How we ll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

Sr. Associate - SOC - Netskope: Elevate Your Impact Through Innovation and Learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4, 500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development and work-life balance. Curious to know what its like to work at Evalueserve? Watch this video What you will be doing at Evalueserve Threat and Vulnerability analysis. Analysis and response to hardware and software vulnerabilities. Manage security tools Knowledge of Cloud security Comprehensive knowledge on Vulnerability scanning tool UEBA and SOAR Audit and Compliance support Incident Response on Cybersecurity Knowledge of EDR, identity threat protection, Exposure management, RFM and unmanaged assets Knowledge of SIEM (Security Information and Event Management) and use cases. Monitoring network activity and ensuring no suspicious activities are happening. Collaborating with other departments to ensure system security. Identifying vulnerabilities and recommending changes to strengthen security. Conduct detailed analysis of incidents and create reports and dashboards. Handling incident alerts and collaborating with right stakeholders. Analyses all the attack alerts and come up with proper analysis What were looking for: About 4 - 8 years of work experience Knowledge of Proxy, secure web gateway (Policies, Rules) and related security alerts. Working experience of Endpoint DLP, Cloud DLP and CASB. Critical thinking and problem-solving abilities Monitoring and auditing the companys systems. Follow us on https://www.linkedin.com/compan y/evalueserve/ Click here to learn more about what our Leaders talking on achievements AI-powered supply chain optimization solution built on Google Cloud. How Evalueserve is now Leveraging NVIDIA NIM to enhance our AI and digital transformation solutions and to accelerate AI Capabilities . Know more about how Evalueserve has climbed 16 places on the 50 Best Firms for Data Scientists in 2024! Want to learn more about our culture and what its like to work with us? Write to us at: careers@evalueserve.com Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances. Please Note :We appreciate the accuracy and authenticity of the information you provide, asit plays a key role in your candidacy. As part of the Background Verification Process, we verify your employment, education, and personal details. Please ensure allinformation is factual and submitted on time. For any assistance, your TA SPOCis available to support you .

Ansys is looking for R&D Engineer II - Python, IOT, AI/ML, MBSE to join our dynamic team and embark on a rewarding career journey Analyzing customer needs to determine appropriate solutions for complex technical issues Creating technical diagrams, flowcharts, formulas, and other written documentation to support projects Providing guidance to junior engineers on projects within their areas of expertise Conducting research on new technologies and products in order to recommend improvements to current processes Developing designs for new products or systems based on customer specifications Researching existing technologies to determine how they could be applied in new ways to solve problems Reviewing existing products or concepts to ensure compliance with industry standards, regulations, and company policies Preparing proposals for new projects, identifying potential problems, and proposing solutions Estimating costs and scheduling requirements for projects and evaluating results

AI Senior EngineerAbout the Role:We are looking for a highly capable AI Lead Engineer to contribute to the design and delivery of intelligent, scalable AI solutions This role focuses on building production-grade systems involving LLMs, vector databases, agent-based workflows, and Retrieval-Augmented Generation (RAG) architectures on the cloud The ideal candidate should demonstrate strong problem-solving abilities, hands-on technical skills, and the ability to align AI design with real-world business needs Must-Have Skills Strong coding ability in Python and proficiency in SQL Hands-on experience with vector databases (e g , Pinecone, FAISS, Weaviate) Practical experience with LLMs (OpenAI, Claude, Gemini, etc ) in real-world workflows Familiarity with LangChain, LlamaIndex, or similar orchestration tools Proven track record in delivering scalable AI systems on public cloud (Azure, AWS, or GCP) Experience building and optimizing RAG pipelines Solid understanding of server less/cloud-native architecture and event-driven design Integrate/expose the ai solution in applications using fastapi,flask,djangoPreferred or Good to Have Skills Exposure to agentic AI patterns and multi-agent coordination Knowledge of AI system safety practices (e g , hallucination filtering, grounding) Experience with MLOps tools (MLflow, KubeFlow) and CI/CD for ML Understanding of concept/data drift and retraining strategies in production Experience working on AI projects involving classification, regression, and clustering models Prior work on multi-modal AI pipelines (vision + language) Familiarity with real-time inference tuning (batching, concurrency) Demonstrated ability to deliver a variety of AI solutions in production environments across domains Any Other: Bachelor s or Master s degree in Computer Science, Data Science, AI/ML, or related field Strong analytical mindset with a clear focus on business-aligned AI delivery Excellent verbal and written communication skills Key Responsibilities Collaborate with the Solution Architect to design agentic AI systems (e g , ReAct, CodeAct, Self-Reflective Agents) Build and deploy scalable RAG pipelines using vector databases and embedding models Integrate modern AI tools (e g , LangChain, LlamaIndex, Kagi, Search APIs) into solution workflows Optimize inference performance for cloud and edge environments Contribute to the development of feedback loops, drift detection, and self-healing AI systems Deploy, monitor, and manage AI solutions on cloud platforms (Azure, AWS, or GCP) Translate business use cases into robust technical solutions in collaboration with cross-functional teams

Job Title: Manager Media Experiments Job Type: Permanent, Full-time Function: Media Business: Godrej Consumer Products Limited Location : Mumbai, Maharashtra, India About Godrej Industries Group (GIG) At the Godrej Industries Group, we are privileged to serve over 1.1 billion consumers globally through our businesses with market leadership positions in the consumer products, real estate, agriculture, financial services and chemicals industries. About Godrej Consumer Products Limited (GCPL) Godrej Consumer Products is a leading emerging markets company. As part of the over 125-year young Godrej Group, we are fortunate to have a proud legacy built on the strong values of trust, integrity and respect for others. At the same time, we are growing fast and have exciting, ambitious aspirations. https://www.godrejcp.com/ About the role As Media Experiments Manager, your aim will be to future-proof GCPL s media ecosystem by pioneering cutting-edge strategies, embracing emerging technologies, and consistently staying ahead of industry trends to drive innovation, impact, and sustained leadership. You will design, execute, and analyse measurable media experiments attributable to business measure of success. The role involves working closely with internal teams and external partners to derive and test insights-based hypothesis. Key Responsibilities 1. Insights and Trends spotting: Stay updated on consumer behaviour trends through market visits and engaging with consumers. Liaise with media, inventory and data partners to stay on top of developments in the evolving media landscape. 2. Experiment Design, Execution and Attribution: Develop hypothesis based on consumer insights/media trends. Design measurable media experiments to test strategies/hypothesis in alignment with overall marketing objectives. Demonstrate attribution of outcome to aligned measure of success. Evangelise successful experiments for wider adoption. Who are we looking for Education: Masters degree in Marketing, Communications, Business, or a related field. Experience: Minimum 6 to 8 years of experience in data science, preferably within the FMCG industry or related sectors Skills: Strong analytical skills, excellent communication, proficiency in media planning tools and software, and a deep understanding of the media landscape. What s in it for you Be an equal parent Childcare benefits for the birthing parent, commissioning parent (in case of surrogacy) or adoptive parent, and their partners 6 months of paid leave for primary caregivers, flexible work options on return for primary caregivers 2 months paid leave for secondary caregivers Caregiver travel for primary caregivers to bring a caregiver and children under a year old, on work travel Coverage for childbirth and fertility treatment No place for discrimination at Godrej Gender-neutral anti-harassment policy Same sex partner benefits at par with married spouses Coverage for gender reassignment surgery and hormone replacement therapy Community partnerships and advocacy Persons with Disability (PwD) care We are selfish about your wellness Comprehensive health insurance plans, as well as accident coverage for you and your family, with top-up options Elder care for those who might need to extend support to senior family members Preventative healthcare support Outpatient Department (OPD) coverage, including vaccinations, dental, vision, etc. Uncapped sick leave Flexible work options, including remote working and part-time work Mental wellness and self-care programmes, resources and counselling Celebrating wins, the Godrej Way Structured recognition platforms for individual, team and business-level achievements Digital and offline instant recognition platforms. An inclusive Godrej Before you go, there is something important we want to highlight. There is no place for discrimination at Godrej. Diversity is the philosophy of who we are as a company. And has been for over a century. It s not just in our DNA and nice to do. Being more diverse - especially having our team members reflect the diversity of our businesses and communities - helps us innovate better and grow faster. We hope this resonates with you. We take pride in being an equal opportunities employer. We recognise merit and encourage diversity. We do not tolerate any form of discrimination on the basis of nationality, race, colour, religion, caste, gender identity or expression, sexual orientation, disability, age, or marital status and ensure equal opportunities for all our team members. If this sounds like a role for you, apply now! We look forward to meeting you.

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 Summary This job will lead ideation, development and implementation of advanced data science models, analytics and reporting solutions in Credit Risk domain. You will work with stakeholders and senior management to understand requirements in detail and deliver precise and timely solutions. Your role involves driving best practices in data science, ensuring data quality, and generating actionable insights. Job Description Essential Responsibilities Lead the development and implementation of advanced data science models. Collaborate with stakeholders to understand requirements. Drive best practices in data science. Ensure data quality and integrity in all processes. Mentor and guide junior data scientists. Stay updated with the latest trends in data science. Minimum Qualifications Minimum of 5 years of relevant work experience and a Bachelors degree or equivalent experience. Preferred Qualification Bachelors (or) Masters degree in a quantitative field (such as Analytics, Statistics, Mathematics, Economics or Engineering) or equivalent field experience. 5+ years of experience in a consumer credit or small business credit-related position, or 4+ years of experience in performing data management and analytics in the payments or in the e-commerce space. Candidate must have proven experience in the ideation, research, discovery, development, implementation, and ongoing monitoring of quantitative solutions for consumer credit or small business credit. Familiarity with data engineering, data management, data modelling, standard ETL techniques including extract, de-duping, cleansing, integration, and aggregation. Expertise in SQL, Python, Excel, PowerPoint and Data Visualization tools (e.g. Tableau, Power BI) Effective communication skills, in both written and verbal formats, with senior executive-level leaders. Subsidiary PayPal Travel Percent 0 For the majority of employees, PayPals 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 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 Click Here to learn more about our culture and community. 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. . 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.