Description

You will develop and deploy AI/ML solutions using advanced data science principles.

This role is on-site.

Responsibilities

• Engineer AI and Agentic flows using LLMs, focusing on prompt design and optimization.
• Build and manage experimentation sandbox environments, such as Jupyter.
• Implement and maintain CI/CD pipelines for ML workflows.
• Handle secure data and apply explainable AI techniques.

Required Skills

• 10+ years of hands-on experience in AI/ML engineering or data development.
• Advanced proficiency in Python.
• Expertise in LLMs, including context and prompt engineering.
• Experience with cloud platforms, specifically AWS and Bedrock.
• Familiarity with the Software Development Life Cycle (SDLC).
• Experience implementing CI/CD pipelines.
• Familiarity with Infrastructure-as-Code tools.
• Familiarity with Java.

Key Skills

Education

Any Graduate