Description

You will build and deploy production-grade AI applications using Python, LLMs, and MLOps practices.

This role is on-site.

Responsibilities

• Develop scalable AI-powered applications integrating LLMs like GPT.
• Implement MLOps pipelines using Docker and Kubernetes for deployment and monitoring.
• Manage data preparation and model serving on AWS, Azure, or GCP.
• Build robust APIs and integrate frameworks such as LangChain and Hugging Face.

Required Skills

• 10+ years of professional experience with Python.
• Strong proficiency in Machine Learning and Deep Learning concepts.
• Hands-on experience with MLOps tools and containerization (Docker, Kubernetes).
• Cloud platform expertise in at least one of: AWS, Azure, or GCP.
• Experience integrating LLMs and using frameworks like LangChain or Hugging Face.
• Proven ability to deliver production-ready, scalable software solutions.

Preferred Skills

• Experience with end-to-end data preparation workflows.
• Familiarity with monitoring tools for deployed ML models.

Key Skills

Education

Any Gradute