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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