Description

You will engineer AI and ML solutions, managing the full lifecycle from sandbox experimentation to production deployment on AWS.

This role is hybrid.

Responsibilities

• Develop and maintain sandbox environments, such as Jupyter, for AI experimentation.
• Implement and manage CI/CD pipelines for ML workflows within an SDLC framework.
• Apply context and prompt engineering techniques to optimize Large Language Models (LLMs).
• Build and deploy solutions on AWS, ensuring secure data practices.
• Collaborate in agile teams to deliver robust AI and agentic flow solutions.

Required Skills

• 5+ years of experience in AI/ML engineering or data development.
• Advanced proficiency in Python.
• Hands-on expertise in AI and Agentic flows.
• Experience with AWS cloud platform, specifically Bedrock.
• Proficiency with CI/CD Pipelines.
• Experience with LLMs and prompt optimization.
• Familiarity with SDLC processes.
• Working knowledge of Jupyter and Java.

Key Skills

Education

Any Graduate