AI/ML Engineer(101865-1)

Location: 21215 Burbank Blvd, Woodland Hills, CA-91367 Or 4361 Irwin Simpson Road, Mason, OH 45040.

Skill set

· 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.

For recruiter to interpret accurately · Not a pure data analyst → this is an engineering-focused ML/GenAI role · Not theoretical AI → requires real-world deployment experience · Strong fit for candidates with backgrounds in: o ML Engineering o Applied Data Science o GenAI / LLM application development 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 OpenAI 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

Generic Managerial Skills, If any

· Ability to explain complex ML / GenAI concepts to non‑technical stakeholders and collaborate effectively with cross‑functional teams.

· Strong analytical thinking to break down ambiguous business problems into workable ML or GenAI solutions.

· Takes end-to-end responsibility for solutions—from design to production readiness—without constant supervision.

· Works well with data engineers, product owners, and platform teams to deliver integrated, scalable solutions.

· Actively keeps up with evolving ML, LLM, and GenAI technologies and improves skills proactively.

Key Words to search in Resume

AI/ML Engineer

Machine Learning Engineer

Python

Machine Learning

Model Training

Model Evaluation

Generative AI

LLM (Large Language Models)

Prompt Engineering

Production ML / ML Deployment

Role Descriptions: Role OverviewWe 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 environmentsKey ResponsibilitiesDesign and implement AI/ML solutions using Python and modern ML frameworksDevelop and optimize Prompt Engineering strategies for LLM-based systemsBuild and deploy Retrieval-Augmented Generation (RAG) pipelinesIntegrate LLMs via APIs (Azure OpenAI preferred) into enterprise applicationsDevelop and orchestrate Agentic AI workflows with tool/function callingImplement vector search solutions using Vector DatabasesEnsure CI/CD integration and cloud deployment (Azure preferred)Establish observability| monitoring| and evaluation frameworks for AI systemsCollaborate with cross-functional teams to deliver production-ready AI featuresRequired QualificationsExpert-level proficiency in PythonStrong experience with LLM integration and RAG architecturesHands-on experience with Prompt/Context EngineeringSolid understanding of NLP concepts and transformer-based modelsExperience with Vector DBs and/or MongoDBKnowledge of CI/CD pipelines and cloud deployment (Azure preferred) Essential Skills: Role OverviewWe 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 environmentsKey ResponsibilitiesDesign and implement AI/ML solutions using Python and modern ML frameworksDevelop and optimize Prompt Engineering strategies for LLM-based systemsBuild and deploy Retrieval-Augmented Generation (RAG) pipelinesIntegrate LLMs via APIs (Azure OpenAI preferred) into enterprise applicationsDevelop and orchestrate Agentic AI workflows with tool/function callingImplement vector search solutions using Vector DatabasesEnsure CI/CD integration and cloud deployment (Azure preferred)Establish observability| monitoring| and evaluation frameworks for AI systemsCollaborate with cross-functional teams to deliver production-ready AI featuresRequired QualificationsExpert-level proficiency in PythonStrong experience with LLM integration and RAG architecturesHands-on experience with Prompt/Context EngineeringSolid understanding of NLP concepts and transformer-based modelsExperience with Vector DBs and/or MongoDBKnowledge 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