

Motion Recruitment
Senior AI/ML Engineer / Los Angeles / Fully Onsite / Python / LLMs / Vector DB
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI/ML Engineer in Los Angeles, with a 6-month contract and a pay rate of "unknown." Key skills include expert Python, LLMs, Vector Databases, and Azure OpenAI. Experience with ML lifecycle and production-ready systems is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 7, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Los Angeles, CA
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🧠 - Skills detailed
#Azure #Deployment #Python #Scala #Databases #Cloud #ADaM (Analysis Data Model) #ML (Machine Learning) #Observability #"ETL (Extract #Transform #Load)" #MongoDB #Monitoring #AI (Artificial Intelligence)
Role description
Job Description
Our client is a pioneering company building advanced Machine Learning and Generative AI solutions that deliver real business value. Based in Los Angeles, this is a full-time and fully-onsite hands-on AI/ML Engineer contract role. You’ll use state-of-the-art technologies—including Python, LLMs, Vector Databases, and Azure OpenAI—to design, build, and deploy production-grade systems for diverse enterprise needs.
This is a role for engineers who want to innovate at every stage of the ML lifecycle. You’ll create impact by owning full-cycle ML and GenAI applications: from prompt engineering and document processing to embedding-based search and cloud-deployed pipelines. The team values creative problem-solving, technical depth, and cross-functional collaboration—making this an excellent environment for rapid growth, learning, and career advancement.
Contract duration: 6 months with possible extension
Required Skills & Experience
• Expert-level Python experience
• Machine Learning & Model Training
• Experience with tagging and labeling workflows
• Generative AI & LLMs (including prompt engineering)
• Document extraction, parsing, and chunking
• Handling structured & unstructured data
• Embedding generation and vector search
• Vector Database integration
• MongoDB
• Production-ready, scalable ML engineering
Desired Skills & Experience
• Experience with Azure OpenAI APIs
• CI/CD best practices, cloud deployment (Azure preferred)
• Observability, monitoring, and evaluation frameworks
• Retrieval-Augmented Generation (RAG) pipelines
• Agentic AI workflow development
• Strong cross-functional teamwork and communication
What You Will Be Doing
Tech Breakdown
• 40% Python, Machine Learning, Model Training
• 25% LLM, Prompt Engineering, and GenAI Workflows
• 20% Vector Database & MongoDB Integration
• 15% Cloud Deployment (Azure), CI/CD, MLOps
Daily Responsibilities
• 70% Hands-On ML/GenAI Engineering
• 20% Team Collaboration & Feature Delivery
• 10% Technical Planning & Guidance
The Offer
• 6+ months contract
You Will Receive The Following Benefits
• Medical, Dental, and Vision Insurance
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Posted By: Adam Carman
Job Description
Our client is a pioneering company building advanced Machine Learning and Generative AI solutions that deliver real business value. Based in Los Angeles, this is a full-time and fully-onsite hands-on AI/ML Engineer contract role. You’ll use state-of-the-art technologies—including Python, LLMs, Vector Databases, and Azure OpenAI—to design, build, and deploy production-grade systems for diverse enterprise needs.
This is a role for engineers who want to innovate at every stage of the ML lifecycle. You’ll create impact by owning full-cycle ML and GenAI applications: from prompt engineering and document processing to embedding-based search and cloud-deployed pipelines. The team values creative problem-solving, technical depth, and cross-functional collaboration—making this an excellent environment for rapid growth, learning, and career advancement.
Contract duration: 6 months with possible extension
Required Skills & Experience
• Expert-level Python experience
• Machine Learning & Model Training
• Experience with tagging and labeling workflows
• Generative AI & LLMs (including prompt engineering)
• Document extraction, parsing, and chunking
• Handling structured & unstructured data
• Embedding generation and vector search
• Vector Database integration
• MongoDB
• Production-ready, scalable ML engineering
Desired Skills & Experience
• Experience with Azure OpenAI APIs
• CI/CD best practices, cloud deployment (Azure preferred)
• Observability, monitoring, and evaluation frameworks
• Retrieval-Augmented Generation (RAG) pipelines
• Agentic AI workflow development
• Strong cross-functional teamwork and communication
What You Will Be Doing
Tech Breakdown
• 40% Python, Machine Learning, Model Training
• 25% LLM, Prompt Engineering, and GenAI Workflows
• 20% Vector Database & MongoDB Integration
• 15% Cloud Deployment (Azure), CI/CD, MLOps
Daily Responsibilities
• 70% Hands-On ML/GenAI Engineering
• 20% Team Collaboration & Feature Delivery
• 10% Technical Planning & Guidance
The Offer
• 6+ months contract
You Will Receive The Following Benefits
• Medical, Dental, and Vision Insurance
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
Posted By: Adam Carman






