Job Description
About the Role:
We re 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
Strong hands-on Python
GenAI / LLM development
GCP ML pipelines and deployment services
Fast API
CI/CD (Jenkins / GitHub Actions)
API Development & API Management
Solid OOPS fundamentals
Nice-to-Have
Docker / Kubernetes
Vector DBs (Pinecone / FAISS / Chroma)
Terraform / IaC
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