AI/ML Engineer (Backend)

About the job

Key Responsibilities

1. Design, develop, and maintain scalable backend services and APIs for AI/ML-powered applications.

1. Build, train, evaluate, and optimize machine learning models for production environments.

1. Deploy, monitor, and maintain ML solutions throughout their lifecycle.

1. Develop REST APIs using Python frameworks such as FastAPI, Flask, or Django.

1. Design and optimize database schemas, queries, and data pipelines.

1. Implement MLOps practices, including model versioning, tracking, monitoring, and lifecycle management.

1. Collaborate with product, engineering, and business teams to deliver impactful AI-driven solutions.

1. Troubleshoot production issues, optimize system performance, and ensure model reliability.

1. Follow software engineering best practices, including testing, documentation, and code reviews.

Skill(s) required

Django FastAPI Flask Microservices Python REST API

Who can apply

Only those candidates can apply who

1. have minimum 1 years of experience

Other requirements

1. 1+ years of experience building and deploying production-grade backend and AI/ML systems.

1. Hands-on experience taking AI/ML models from development through deployment and maintenance.

1. Strong proficiency in Python and backend frameworks such as FastAPI, Flask, or Django, with experience in REST API development.