Data Scientist

Technogen; Pune District, Chennai District, Bengaluru; Hybrid; INR 1,200,000 - 2,000,000; Full time

Job summary

Technogen is seeking a Data Scientist with hands-on Python, FastAPI and GenAI/LLM experience. Work is hybrid from several Indian tech hubs, including Pune, Chennai, Coimbatore and Bangalore, with deployment and API work across GCP.

You will build and optimize ML/GenAI models (RAG, embeddings, LLM), deploy on GCP services (Cloud Run, BigQuery, GCS, Pub/Sub), design scalable APIs, and implement CI/CD for ML pipelines, collaborating with Product, Data Eng and Infra teams.

Qualifications

• Hands-on Python development for production-grade ML services.
• Experience with GenAI/LLM development and embeddings.
• Proficient in deploying ML workloads on GCP.
• Strong API design and FastAPI development.
• Familiar with CI/CD pipelines (Jenkins, GitHub Actions).
• Knowledge of API Development and API Management.
• Solid OOP concepts and modular design.
• Collaborative with cross-functional teams.

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.

Skills

Python

GenAI / LLM development

GCP ML pipelines

FastAPI

CI/CD

API Development

API Management

OOPS fundamentals

Tools

Cloud Run

BigQuery

GCS

Pub/Sub

Job description

Job Description Data Scientist

Data Scientist - 3to 7 Years

Skillset - GCP, Agentic AI, Gen AI, LLM, RAG, Fast API,

Location - Chennai, Pune, Coimbatore, Bangalore.

Work Mode - Hybrid

About the Role:

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

• Strong 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