onsite Data Science Engineer

Motion Recruitment Partners LLC.
Los Angeles, United States of America
6 days ago

Role details

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

Job location

Los Angeles, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Software Quality
Encodings
Continuous Integration
Data Cleansing
Python
Machine Learning
MongoDB
Parsing
Performance Tuning
Search Technologies
Software Engineering
Systems Integration
Large Language Models
Prompt Engineering
Generative AI
Machine Learning Operations

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

Requirements

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

Benefits & conditions

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

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