Job Description -
Job Posting Title
Lead Data Scientist 4C

Job Description
Inviting applications for the role of Data Scientist, Azure Generative AI & Advanced Analtyics!
In this role, we are seeking a highly skilled and experienced Data Scientist with hands-on expertise in Azure Generative AI, Document Intelligence, Agentic AI, and Advanced Data Pipelines. The ideal candidate will be responsible for developing and optimizing AI/ML models, analyzing complex datasets, and providing strategic recommendations for embedding models and Generative AI applications. You will play a critical role in driving AI-driven insights and automation within our business. AI Insights and Reporting tools

Responsibilities
Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making.
Design, develop, and implement Generative AI solutions leveraging AWS Bedrock, Azure OpenAI, Azure Machine Learning, and Cognitive Services.
Utilize Azure Document Intelligence to extract and process structured and unstructured data from diverse document sources.
Build and optimize data pipelines for processing and analyzing large-scale datasets efficiently.
Implement Agentic AI techniques to develop intelligent, autonomous systems that can make decisions and take actions.
Research, evaluate, and recommend embedding models, language models, and generative models for diverse business use cases.
Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed.
Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones.
Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth.
Ensure model explainability, fairness, and compliance with responsible AI principles.
• Stay up to date with the latest advancements in AI, ML, and data science, and apply best practices to enhance business operations. [List of responsibilities]
Qualifications we seek in you!
Minimum Qualifications
Bachelor's or Masters degree in Computer Science, Data Science, AI, Machine Learning, or a related field.
Relevant years of experience in data science, machine learning, AI applications, and at least experience in generative AI prompt engineering, creating custom models
Solid proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and MLflow.
Hands-on experience with Azure AI services (Azure OpenAI, Azure Document Intelligence, Azure Machine Learning, Azure Synapse, and Azure Data Factory).
Expertise in LLMs, transformer architectures, and embeddings.
Experience in building and optimizing end-to-end data pipelines.
Familiarity with vector databases, FAISS, Pinecone, and knowledge retrieval techniques.
Knowledge of Reinforcement Learning (RLHF), fine-tuning LLMs, and prompt engineering.
Strong analytical skills with the ability to translate business requirements into AI/ML solutions.




Excellent problem-solving, critical thinking, and communication skills.
Experience with cloud-native AI deployment, containerization (Docker, Kubernetes), and MLOps practices is a plus.
Preferred Qualifications/ Skills
Experience with multi-modal AI models and computer vision applications.
Exposure to LangChain, Semantic Kernel, RAG (Retrieval-Augmented Generation), and knowledge graphs.
Certifications in Microsoft Azure AI, Data Science, or ML Engineering.
Additional Job Description
Additional Job Description
Job Posting Title : Lead Data Scientist 4C
Job Description : Inviting applications for the role of Data Scientist, Azure Generative AI & Advanced Analtyics!In this role, we are seeking a highly skilled and experienced Data Scientist with hands-on expertise in Azure Generative AI, Document Intelligence, Agentic AI, and Advanced Data Pipelines. The ideal candidate will be responsible for developing and optimizing AI/ML models, analyzing complex datasets, and providing strategic recommendations for embedding models and Generative AI applications. You will play a critical role in driving AI-driven insights and automation within our business. AI Insights and Reporting tools Responsibilities
Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making.
Design, develop, and implement Generative AI solutions leveraging AWS Bedrock, Azure OpenAI, Azure Machine Learning, and Cognitive Services.
Utilize Azure Document Intelligence to extract and process structured and unstructured data from diverse document sources.
Build and optimize data pipelines for processing and analyzing large-scale datasets efficiently.
Implement Agentic AI techniques to develop intelligent, autonomous systems that can make decisions and take actions.
Research, evaluate, and recommend embedding models, language models, and generative models for diverse business use cases.
Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed.
Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones.
Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth.
Ensure model explainability, fairness, and compliance with responsible AI principles.
• Stay up to date with the latest advancements in AI, ML, and data science, and apply best practices to enhance business operations. [List of responsibilities]Qualifications we seek in you!Minimum Qualifications




Bachelor's or Masters degree in Computer Science, Data Science, AI, Machine Learning, or a related field.
Relevant years of experience in data science, machine learning, AI applications, and at least experience in generative AI prompt engineering, creating custom models
Strong proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and MLflow.
Hands-on experience with Azure AI services (Azure OpenAI, Azure Document Intelligence, Azure Machine Learning, Azure Synapse, and Azure Data Factory).
Expertise in LLMs, transformer architectures, and embeddings.
Experience in building and optimizing end-to-end data pipelines.
Familiarity with vector databases, FAISS, Pinecone, and knowledge retrieval techniques.
Knowledge of Reinforcement Learning (RLHF), fine-tuning LLMs, and prompt engineering.
Strong analytical skills with the ability to translate business requirements into AI/ML solutions.
Excellent problem-solving, critical thinking, and communication skills.
Experience with cloud-native AI deployment, containerization (Docker, Kubernetes), and MLOps practices is a plus.Preferred Qualifications/ Skills
Experience with multi-modal AI models and computer vision applications.
Exposure to LangChain, Semantic Kernel, RAG (Retrieval-Augmented Generation), and knowledge graphs.
Certifications in Microsoft Azure AI, Data Science, or ML Engineering.
Education : Bachelorsin Business Analytics, Bachelorsin Computer Science, Bachelorsin Statistics, Mastersin Data Science
Professional Experience and Years of Experience : ADM - JAVAwith 3-5 YEARS, Agilewith 3-5 YEARS, AI/ML Opswith 3-5 YEARS, Ambient Computingwith 3-5 YEARS, Artificial Intelligencewith 3-5 YEARS, Client Relationshipswith 3-5 YEARS, Collaboration Tools & Methodswith 3-5 YEARS, Computer Visionwith 3-5 YEARS, Design Thinkingwith 3-5 YEARS, Executive Presencewith 3-5 YEARS, Inclusionwith 3-5 YEARS, Industrial Internet of Things (IIOT)with 3-5 YEARS, Machine Learningwith 3-5 YEARS, People Leadershipwith 3-5 YEARS, Personal Effectivenesswith 3-5 YEARS, Risk Managementwith 3-5 YEARS, Statistical Modelingwith 3-5 YEARS, Storytellingwith 3-5 YEARS, Supply Chain Management - AFTERSALESwith 3-5 YEARS
Management Level : 4C
Language and Proficiency : English - Proficient - C2
Time Type : Full time
Skills : Design Thinking, Computer Vision, Amazon SageMaker, Storytelling, Anticipatory Capability, Artificial Intelligence (AI), Asset Management, Continuous Integrations, Context Awareness, Personalization, Inclusion, Embedded Systems, CI/CD, Continuous Delivery, Personal Effectiveness, Client Relations, Risk Management, Agile Methodology, Adaptive Technology, Executive Presence, People Leadership, Continuous Testing, System Performance Monitoring, Model Validation, Collaboration Tools, Internet of Things (IoT), R-Studio, Machine Learning Model Management, R Programming, Statistical Models, Data Validation, Data Provisioning, Automated Machine Learning (AutoML)
Certifications : Data Science Using R - SimpliLearn
Primary location : Banglore
Remote type : Hybrid
Client specific requirement : NA
Shift : Day Job

📌 Lead Data Scientist (Karnataka)
🏢 Genpact
📍 Karnataka