Hiring : Data Scientist - GenAI / LLM | 6+ Years

Work Mode : Hybrid

We are looking for an experienced Data Scientist with strong hands-on expertise in Python, FastAPI, GenAI/LLMs, and GCP to build and deploy scalable, production-grade AI/ML solutions.

Key Responsibilities :

- Build, train, and optimize ML & GenAI solutions, including RAG, embeddings, and LLM integrations

- Develop production-grade applications and APIs using Python & FastAPI

- Deploy ML workloads on GCP, including Cloud Run, BigQuery, GCS, and Pub/Sub

- Design scalable APIs and manage API integrations

- Contribute to cloud migration and ML platform modernization initiatives

- Implement CI/CD pipelines for ML workloads, APIs, and microservices

- Apply strong OOP/OOPS principles to build clean, modular, and maintainable solutions

- Collaborate with Product, Data Engineering, Cloud, and Infrastructure teams

Tech Stack : Machine Learning, GenAI, RAG, LLM, Python, FastAPI, GCP

Good to Have :

- Docker / Kubernetes

- Vector Databases - Pinecone / FAISS / Chroma

- Terraform / Infrastructure as Code

- Experience with ML pipelines and MLOps

Interview Process :

1. First round : Virtual

2. Second round : In-person

3. Third round : Client discussion, In-person