Senior Data Scientist - Generative AI

About The Role: As a Senior Data Scientist, you will be instrumental in developing and deploying cutting-edge Generative AI and NLP solutions for enterprise use cases. This role requires a strong engineering discipline to translate complex business requirements into robust, production-ready AI applications, ensuring independent design, build, deployment, and scaling. Key Responsibilities: - Design, develop, and deploy enterprise-grade Generative AI applications using foundation models and LLMs. - Build and optimize advanced RAG systems utilizing hybrid search, semantic search, knowledge graphs, and retrieval orchestration. - Develop prompt engineering frameworks, context management strategies, and memory architectures. - Implement LLM evaluation frameworks including automated testing, benchmark creation, hallucination detection, guardrails, safety controls, and model observability. - Design AI governance mechanisms including prompt versioning, output validation, security controls, and responsible AI practices. - Collaborate with platform teams to deploy GenAI workloads across cloud and on-premise environments. - Design, develop, and orchestrate autonomous and semi-autonomous AI agents for enterprise use cases. - Build robust tool-calling ecosystems integrating APIs, databases, enterprise applications, search systems, and business workflows. - Perform end-to-end NLP solution development including data preparation, feature engineering, model development, evaluation, and deployment. Requirements : - 5 to 10 years of experience. - Btech in CS, Mtech in CS, Btech in IT, or Mtech in IT. - Proficiency in Gen AI. - Expertise in Python. - Strong communication, documentation, architecture, and stakeholder management skills. - Ability to translate business requirements into AI solutions and effectively communicate technical concepts to both technical and non-technical stakeholders. - Capability for independent design, build, deploy, and scale solutions. - Strong engineering discipline and focus on production readiness. Nice to Have: - MLflow. - LLM.