AI/ML Engineer

Job Title: AI/ML Engineer

Location: Mason, OH/ Woodland Hills, CA (Day 1 onsite)

Duration: Contract/ w2

Bill Rate:- $55 - $60/hr

About the Role

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.

Essential Skills:

Role Overview We are seeking a highly skilled AI/ML Engineer to design| develop| and deploy advanced AI solutions leveraging LLMs| RAG architectures| and agentic AI systems. The ideal candidate will have deep Python expertise| strong NLP knowledge| and hands-on experience integrating AI models into scalable| production-grade cloud environments

Key Responsibilities

Design and implement AI/ML solutions using Python and modern ML frameworks Develop and optimize Prompt Engineering strategies for LLM-based systems Build and deploy Retrieval-Augmented Generation (RAG) pipelines Integrate LLMs via APIs (Azure Open AI preferred) into enterprise applications Develop and orchestrate Agentic AI workflows with tool/function calling Implement vector search solutions using Vector Databases Ensure CI/CD integration and cloud deployment (Azure preferred)Establish observability| monitoring| and evaluation frameworks for AI systems Collaborate with cross-functional teams to deliver production-ready AI features

Required Qualifications Expert-level proficiency in Python Strong experience with LLM integration and RAG architectures Hands-on experience with Prompt/Context Engineering Solid understanding of NLP concepts and transformer-based models Experience with Vector DBs and/or MongoDB Knowledge of CI/CD pipelines and cloud deployment (Azure preferred)

Desirable Skills:

Keyword:

Skills: Digital : Python~Digital : DevOps Continuous Integration and Continuous Delivery (CI/CD)~Digital : Azure Machine Learning (ML)~AI Agents

Experience Required: 8-10

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.