Data Science Engineer / Los Angeles / Fully Onsite / Python / LLMs / MongoDB
Los Angeles, California, United States of America
Contract
3 weeks ago
$50 - $70 USD
Key skills
PythonAIMachine LearningMLGenerative AIGenAILLMLarge Language ModelsAWSAzureMongoDBCI/CDCommunicationCollaboration
About this role
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.
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.