Qualifications :

- Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field.

- 46 years of hands-on experience in Data Science, ML, or AI engineering with at least 2 years in production GenAI systems.

- Strong proficiency in Python async programming, type hints, modular architecture.

- Solid SQL skills for data analysis, pipeline validation, and query optimization.

- Hands-on experience with LLMs (Gemini, GPT-4, Claude, Mistral, or equivalent) and prompt engineering at scale.

- Practical experience building RAG systems with vector stores and embedding pipelines.

- Experience developing AI agents tool definition, chained execution, session handling, and failure recovery.

- Working knowledge of ML frameworks Scikit-learn, TensorFlow, or PyTorch for classical and deep learning use cases.

- Experience with cloud platforms, preferably GCP (Cloud Run, GKE, GCS, Pub/Sub, BigQuery).

- Familiarity with FastAPI or equivalent for building production AI backends.

- Comfortable working in a fast-moving startup environment with high ownership and low hand-holding.