ML Engineering Lead: GenAI & Production Pipelines

Compunnel, Inc.; Woodland (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

A technology solutions company in California is looking for a Lead II - ML Engineering Data Science Engineer. In this role, you will design and develop scalable machine learning and Generative AI solutions, build data pipelines, and integrate AI frameworks. Candidates should possess expert Python skills and experience with document processing workflows, vector databases, and ML/GenAI technologies. This position offers the opportunity to work on impactful AI solutions in a dynamic environment.

Responsibilities

• Develop and deploy machine learning and Generative AI solutions using Python.
• Design and optimize prompt engineering strategies.
• Build document extraction and chunking pipelines.
• Train, evaluate, and fine-tune machine learning models.
• Manage tagging and labeling workflows for model development.
• Implement embedding generation and vector search solutions.
• Integrate ML models with vector databases and MongoDB.
• Ensure code quality and production readiness.

Skills

Expert-level proficiency in Python

Strong experience in machine learning training

Hands-on experience with document extraction

Solid understanding of ML algorithms and GenAI

Experience with vector databases

Strong problem-solving skills

Ability to build scalable solutions

Job description

A technology solutions company in California is looking for a Lead II - ML Engineering Data Science Engineer. In this role, you will design and develop scalable machine learning and Generative AI solutions, build data pipelines, and integrate AI frameworks. Candidates should possess expert Python skills and experience with document processing workflows, vector databases, and ML/GenAI technologies. This position offers the opportunity to work on impactful AI solutions in a dynamic environment.