Description

You will build, deploy, and scale machine learning models within production systems.

Responsibilities

• Develop and optimize prompt designs and contexts for large language models (LLMs).
• Build and manage experimentation environments, such as Jupyter notebooks.
• Implement and maintain CI/CD pipelines for ML workflows.
• Manage infrastructure using Infrastructure-as-Code practices on cloud platforms.
• Collaborate with cross-functional teams using agile methodologies.

Required Skills

• 5+ years of hands-on experience in AI/ML engineering or software/data development.
• Advanced proficiency in Python.
• Demonstrated expertise in LLMs, including prompt engineering and optimization.
• Experience with CI/CD Pipelines.
• Familiarity with cloud platforms, specifically AWS and Bedrock.
• Experience building and managing sandbox environments.
• Knowledge of secure data handling and explainable AI techniques.
• Proficiency in Java is a plus.

Key Skills

Education

Any Graduate