Description

You will engineer data science solutions using AI and ML principles.

Responsibilities

• Develop and manage sandbox environments (e.g., Jupyter) for AI experimentation.
• Implement and maintain CI/CD pipelines for ML workflows.
• Apply context and prompt engineering techniques to Large Language Models (LLMs).
• Build and manage solutions within an SDLC environment on AWS.
• Handle secure data practices while collaborating in agile teams.

Required Skills

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

Key Skills

Education

Any Graduate