Experience 12–15 years of total experience, with 5 years in Data Science or AI/ML Engineering roles. Demonstrated experience leading end-to-end AI/ML solution design and production deployment. Proven track record in Generative AI, LLMs, NLP, and AI agent development. Expert in Python and familiar with up-to-date ML/NLP frameworks: HuggingFace, LangChain, PyTorch, TensorFlow, etc.
Experience fine-tuning LLMs for domain-specific applications (e.g., Q&A; systems, auto-documentation, predictive insights). Hands-on experience building, scaling, and optimizing AI systems on OCI, with knowledge of hybrid/multi-cloud architectures. Robust knowledge of machine learning algorithms, prompt engineering, vector databases, and RAG pipelines.
Familiar with MLOps, model governance, and CI/CD for ML workflows. Robust communication and stakeholder management skills—able to bridge the gap between technical and executive teams.