Description

You will own the full machine learning model lifecycle, from development and deployment to ongoing maintenance and optimization.

This role is remote.

Responsibilities

• Develop modular, object-oriented ML models in Python.
• Build and manage ML pipelines using AWS SageMaker.
• Implement scalable serverless solutions with AWS Lambda and Docker.
• Design event-driven architectures to automate ML workflows.
• Maintain CI/CD pipelines and feature stores for model reuse.

Required Skills

• 5+ years of experience in machine learning and data science.
• Proficiency in Python and object-oriented programming.
• Hands-on experience with AWS SageMaker and AWS Lambda.
• Experience with Docker and containerized environments.
• Strong understanding of statistics and data science modeling.
• Practical knowledge of Git and DVC for version control.
• Ability to design event-driven and serverless architectures.

Preferred Skills

• Experience with Large Language Models (LLMs) and advanced deep learning.
• Familiarity with Monorepos.
• Knowledge of Azure or Google Cloud platforms.

Key Skills

Education

Any Graduate