We are looking for an experienced Data Scientist Gen AI with 48 years of experience in Generative AI, Machine Learning, Python, SQL, LLMs, RAG, and Agentic AI. The ideal candidate will be responsible for designing and developing AI/ML solutions using modern Generative AI technologies and building intelligent, scalable applications powered by Large Language Models.

Key Responsibilities :

- Design, develop, and deploy Generative AI and Machine Learning solutions for business use cases.

- Build and implement LLM-powered applications using state-of-the-art models and frameworks.

- Develop RAG (Retrieval-Augmented Generation) pipelines for knowledge-based AI applications.

- Design and implement Agentic AI solutions, including AI agents capable of reasoning, tool use, and task execution.

- Develop data processing, feature engineering, and model development workflows using Python and SQL.

- Experiment with different LLMs, prompting strategies, embeddings, vector databases, and retrieval techniques.

- Fine-tune and optimize AI/ML models where required.

- Evaluate LLM outputs and improve model accuracy, relevance, reliability, and performance.

- Develop and optimize AI pipelines for production environments.

- Work with cross-functional teams to understand business requirements and translate them into AI solutions.

- Conduct research and stay updated on emerging Gen AI, LLM, Agentic AI, and ML technologies.

- Troubleshoot model, data, and application-level issues and continuously improve AI solutions.

- Follow best practices related to AI development, data quality, security, scalability, and responsible AI.

Required Skills :

- 48 years of experience in Data Science / Machine Learning / AI.

- Strong hands-on experience with Generative AI and LLMs.

- Strong programming skills in Python.

- Strong knowledge of Machine Learning concepts and algorithms.

- Hands-on experience building RAG-based applications.

- Practical experience with Agentic AI / AI Agents.

- Strong understanding of LLM architecture, prompting, embeddings, and vector search.

- Strong SQL skills and experience working with structured/unstructured data.

- Experience developing and deploying AI/ML solutions.

- Strong analytical, problem-solving, and communication skills.

Preferred Skills :

- Experience with LLM frameworks and orchestration tools.

- Experience with vector databases and semantic search.

- Knowledge of model evaluation and LLM evaluation techniques.

- Experience with fine-tuning or adapting LLMs for specific use cases.

- Understanding of cloud-based AI/ML platforms.

- Experience building production-grade Gen AI applications.

- Knowledge of AI/ML APIs and integration with enterprise applications.