Need AI/ML Engineer || Mason, OH/Los Angeles, CA (Onsite)

[Sourabh Diwakar]

Job Title: AI/ML Engineer
Location: Mason, OH/Los Angeles, CA (Onsite)
Job Type: C2C Contract

Job Description
We are seeking a hands-on AI/ML Engineer to design, build, and deploy production-grade Machine Learning and Generative AI solutions. The ideal candidate should have strong Python expertise and practical experience taking ML and GenAI use cases from development through deployment.

The role focuses heavily on LLM-based applications, including prompt engineering, document processing pipelines, embedding-based search solutions, and enterprise AI integrations. The engineer will work with both structured and unstructured data, building scalable pipelines for document extraction, parsing, chunking, and integrating ML models with Vector Databases and MongoDB.

The ideal candidate should understand end-to-end ML workflows including data preparation, tagging, labeling, model training, evaluation, fine-tuning, deployment, and monitoring while ensuring solutions are scalable, high-quality, and production ready.

Must Have Skills
Python & Machine Learning

• Expert-level proficiency in Python
• Strong experience in Machine Learning and Model Training
• Experience with model training, evaluation, and fine-tuning
• Knowledge of tagging and labeling workflows
• Experience with modern ML frameworks and production AI systems

Generative AI & LLMs

• Hands-on experience with Generative AI and Large Language Models (LLMs)
• Strong prompt engineering experience for LLM-based applications
• Experience building and deploying Retrieval-Augmented Generation (RAG) pipelines
• Experience integrating LLMs through APIs (Azure OpenAI preferred)
• Knowledge of Agentic AI workflows with tool/function calling

Document Processing & Data Engineering

• Experience in document extraction, parsing, and chunking
• Strong understanding of structured and unstructured data processing
• Experience building document processing pipelines and embedding-based search solutions

Embeddings, Vector Search & Databases

• Experience with embedding generation and semantic/vector search
• Hands-on experience with Vector Database integration
• Experience working with MongoDB and enterprise data systems

Cloud, Deployment & Engineering Practices

• Experience with CI/CD integration and cloud deployment (Azure preferred)
• Knowledge of observability, monitoring, and evaluation frameworks for AI systems
• Ability to build scalable, production-grade ML/GenAI solutions

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 RAG pipelines and enterprise AI search solutions
• Integrate LLM APIs and Vector Databases into enterprise applications
• Develop and orchestrate Agentic AI workflows with tool/function calling
• Build scalable document processing and embedding pipelines
• Ensure production readiness, scalability, monitoring, and performance optimization
• Collaborate with cross-functional teams to deliver production-ready AI features

Preferred Qualifications

• Experience with Azure OpenAI services and Azure cloud platform
• Strong understanding of MLOps and AI deployment best practices
• Experience building enterprise-scale AI/ML applications
• Excellent problem-solving and communication skills

Feel free to let me know if you have any questions.