Description

You will build and maintain production-grade ML systems at scale.

Responsibilities

• Develop and implement machine learning models using PyTorch and TensorFlow.
• Integrate ML workflows using tools like LangGraph and LangChain.
• Containerize and orchestrate services using Docker and Kubernetes.
• Manage data pipelines and warehousing using BigQuery.

Required Skills

• 10+ years of professional experience in ML engineering.
• Expert proficiency in PyTorch and TensorFlow.
• Hands-on experience deploying ML systems in production.
• Familiarity with containerization (Docker) and orchestration (Kubernetes).
• Experience with workflow orchestration tools like Cloud Composer.
• Working knowledge of BigQuery.
• Exposure to LangGraph and LangChain frameworks.
• Experience with GCP environment is preferred.

Key Skills

Education

Any Graduate