Description

You will build and deploy production-grade GenAI solutions.

Responsibilities

• Develop Retrieval-Augmented Generation (RAG) based LLM solutions using tools like ChatGPT and Copilot.
• Manage the full ML/GenAI lifecycle, including fine-tuning and inference API development.
• Engineer data pipelines leveraging PySpark and Scala for heavy data processing.
• Implement CI/CD and DevOps practices across multi-repo codebases.

Required Skills

• 5+ years of professional experience.
• Expert proficiency in Python.
• Strong experience with PySpark and Scala.
• Hands-on experience developing with FastAPI and JWT.
• Proficiency with containerization using Docker.
• Experience with data stores such as MongoDB and Redis.
• Familiarity with CI/CD tooling (Git, Jenkins).
• Experience with API Gateway concepts.

Preferred Skills

• Frontend experience with React or Angular.
• Prior work on large-scale enterprise AI platforms.

Key Skills

Education

Any Graduate