Motion Recruitment

Data Science Engineer / Los Angeles / Fully Onsite / Python / LLMs / MongoDB

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Science Engineer position in Los Angeles, fully onsite for a 6-month contract at a pay rate of "unknown". Key skills required include advanced Python, LLMs, MongoDB, and experience with the ML lifecycle and Generative AI systems.
🌎 - 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 #Normalization #Python #AWS (Amazon Web Services) #Data Science #Databases #Scala #Cloud #ADaM (Analysis Data Model) #ML (Machine Learning) #Documentation #"ETL (Extract #Transform #Load)" #MongoDB #Monitoring #AI (Artificial Intelligence)
Role description
Job Description Our client is a leading innovator in Machine Learning and Generative AI, driving real impact with scalable solutions in the heart of Los Angeles. This is a full-time, fully onsite Data Science Engineer contract role, designed for experts passionate about building robust, production-ready ML and GenAI systems. You’ll have the opportunity to work hands-on with cutting-edge technologies—including advanced Python, LLMs, Vector Databases, and Document AI—delivering next-generation AI capabilities across the organization. This role is perfect for engineers seeking ownership over the complete AI lifecycle, from data preparation and model development to deployment and system integration. Bring your deep technical expertise and creative problem-solving skills to a collaborative team environment, where there’s a strong focus on growth, continuous learning, and meaningful technical contributions. Contract duration: 6 months with possible extension Required Skills & Experience • Advanced Python development for ML/AI workloads • Experience with the full ML lifecycle: model training, evaluation, fine-tuning, and labeling/tagging • Generative AI systems design and LLM-based application development • Prompt engineering for large language models • Building document AI pipelines: OCR/extraction, parsing, normalization, chunking • Embedding generation for semantic search and retrieval • Vector similarity search and implementation with Vector Databases • Integration of ML models with Vector DBs and MongoDB • Proven experience writing scalable, maintainable, deployment-ready ML code Desired Skills & Experience • CI/CD best practices and cloud deployment (Azure or AWS preferred) • Production-level experience with document AI, embeddings, and semantic search • Strong system design and code quality standards • Observation, monitoring, and evaluation frameworks for production ML systems • Cross-functional collaboration and clear technical communication What You Will Be Doing Tech Breakdown • 40% Python, Model Development, and Training • 25% Generative AI, Prompt Engineering, and LLM Applications • 20% Document AI, Embeddings & Vector DB Integration • 15% CI/CD, Production Deployment, Code Quality Daily Responsibilities • 70% Hands-on ML/GenAI Engineering • 20% Team Collaboration & Feature Development • 10% Technical Planning, Documentation & Code Review 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