AI/ML Engineer

Motion Recruitment Partners LLC.
Los Angeles, United States of America
yesterday

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Los Angeles, United States of America

Tech stack

API
Artificial Intelligence
Azure
Cloud Computing
Encodings
Databases
Continuous Integration
Python
Machine Learning
MongoDB
Parsing
Search Technologies
Unstructured Data
Large Language Models
Prompt Engineering
Deep Learning
Generative AI
Machine Learning Operations
Virtual Agents

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, 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.

Requirements

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

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