Were looking for a strong Data Scientist with hands-on development capability (Python, FastAPI, OOPs),
solid GenAI/LLM experience, and the ability to work end-to-end on GCP-based ML solutions including deployment, APIs, and CI/CD.
Key Responsibilities
- Build, train, and optimize ML/GenAI models (RAG, embeddings, LLM integrations)
- Develop production-grade services using Python + FastAPI
- Deploy ML workloads on GCP (Cloud Run, BigQuery, GCS, Pub/Sub)
- Design scalable APIs and lead API integrations
- Contribute to Cloud Migration and ML platform modernization
- Implement CI/CD for ML pipelines and microservices
- Apply OOPS principles for clean, modular design
- Work collaboratively with Product, Data Engineering, and Infra teams
Must-Have Skills
- Robust hands-on Python
- GenAI / LLM development
- GCP ML pipelines and deployment services
- FastAPI
- CI/CD (Jenkins / GitHub Actions)
- API Development & API Management
- Solid OOPS fundamentals