| Location | Mason, OH |
Role: AI/ML Engineer
Location: Woodland Hills, CA / Mason, OH
Work Type: Onsite
Job Type: Contract
Interview Mode: Video
Skill: Python, Generative AI, ML Engineering, MongoDB
Experience Required: 10+
Python (Expert level) · Machine Learning & Model Training o Training, evaluation, fine-tuning o Tagging and labeling workflows · Generative AI & LLMs o Prompt engineering for LLM-based applications · Document Processing o Document extraction, parsing, and chunking o Handling structured & unstructured data · Embeddings & Vector Search o Embedding generation o Vector database integration · Databases o Vector Databases o MongoDB · Production-grade ML Engineering o Scalable, production-ready ML/GenAI solutions
Roles & Responsibilities
This role is for a hands-on AI/ML Engineer who will design, build, and deploy production ‐ grade Machine
Learning and Generative AI solutions. The candidate must have strong Python expertise and practical
experience taking ML and GenAI use cases from development to deployment.
The role focuses heavily on LLM-based applications, including prompt engineering, document
processing pipelines, and embedding-based search solutions. The engineer will work with both
structured and unstructured data, building pipelines for document extraction, parsing, and chunking,
and integrating ML models with Vector Databases and MongoDB.
An ideal candidate is someone who understands end-to-end ML workflows-from data preparation,
tagging, and labeling, through model training, evaluation, and fine-tuning-while ensuring solutions are
scalable, high quality, and production ready.
Generic Managerial Skills, If any
effectively with cross ‐ functional teams.
GenAI solutions.
constant supervision.
scalable solutions.
proactively.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.