Description

You will build and deploy machine learning systems, focusing on AI and Agentic flows.

This role is on-site.

Responsibilities

• Implement AI and Agentic flows using hands-on expertise.
• Develop and manage experimentation sandboxes, such as Jupyter environments.
• Build and maintain CI/CD pipelines for model deployment.
• Apply context and prompt engineering techniques for LLMs, including design and optimization.

Required Skills

• 8+ years of professional experience in AI/ML engineering or software/data development.
• Advanced proficiency in Python.
• Experience with AWS cloud platform.
• Familiarity with Software Development Life Cycle (SDLC).
• Demonstrated expertise in context and prompt engineering for Large Language Models (LLMs).
• Experience implementing CI/CD pipelines.
• Experience with Infrastructure-as-Code tools.
• Familiarity with secure data handling practices.

Key Skills

Education

Any Graduate