Description

Develop and deploy machine learning models, focusing on Large Language Models (LLMs) and production engineering.

This role is on-site.

Responsibilities

• Build and implement LLMs and Langchain workflows.
• Develop data scraping pipelines and manage embedding/vector retrieval algorithms.
• Deploy models to production using AWS SageMaker and Docker.
• Expose model functionality through REST APIs.
• Maintain version and dependency management across development lifecycles.

Required Skills

• 5+ years of professional experience in data science or related roles.
• Proficiency in Python, including Pandas and NumPy.
• Hands-on experience with AWS and SageMaker.
• Experience with LLMs, Langchain, and vector retrieval.
• Practical knowledge of Docker for containerization.
• Ability to perform data scraping.
• Experience building and consuming REST APIs.
• Bachelor's degree in a relevant field.

Preferred Skills

• Experience with Flask or Django frameworks.

Key Skills

Education

Bachelor's degree