Description

You will build and deploy data science solutions using AI and ML engineering principles.

This role is on-site.

Responsibilities

• Design and optimize prompts for Large Language Models (LLMs) using context and prompt engineering techniques.
• Develop and manage experimentation sandbox environments, such as Jupyter.
• Implement CI/CD pipelines for AI and Agentic flow systems.
• Build functional systems applying AI and Agentic flow expertise.
• Work within an SDLC environment utilizing cloud platforms for development and deployment.

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 infrastructure.
• Familiarity with SDLC processes.
• Experience with CI/CD Pipelines.
• Knowledge of LLMs and prompt design.
• Experience building and managing sandbox environments.

Key Skills

Education

Any Graduate