Description

Technical Skills:
· Advanced Python development for ML/AI workloads
· End‐to‐end ML lifecycle: model training, evaluation, fine‐tuning, and labeling/tagging workflows
· Generative AI systems design, including LLM-based application development
· Prompt engineering optimization for large language models
· Document AI pipelines: OCR/extraction, parsing, normalization, and text chunking for structured & unstructured data
· Embedding generation pipelines for semantic search and retrieval
· Vector similarity search implementation using vector databases
· ML model integration with Vector DBs and MongoDB
· Production‐grade ML engineering: scalable, maintainable, and deployment‐ready code
· Knowledge of CI/CD pipelines and cloud deployment (Azure preferred)
· Experience with Vector DBs and/or MongoDB

Python, Large Language Models (LLMs) (via LLM‐based applications), Vector Databases, MongoDB

Roles & Responsibilities

Strong fit if the candidate:
· Has expert-level Python skills
· Has hands-on experience building ML/GenAI systems, not just theoretical knowledge
· Has worked on end-to-end ML pipelines (data → model → deployment)
· Has experience with document AI, embeddings, and vector search
· Thinks like an engineer (scalable, maintainable, production-ready code)

Likely not a fit if the candidate is:
· Primarily a BI / reporting analyst
· Focused only on statistical modeling or academic research
· Lacking experience with deployment, pipelines, or GenAI systems

Key Responsibilities
· Develop and deploy machine learning and GenAI solutions using Python
· Design and optimize prompt engineering strategies for LLM-based applications
· Build document extraction, parsing, and chunking pipelines for structured and unstructured data
· Train, evaluate, and fine-tune ML models; manage tagging and labeling workflows
· Implement embedding generation and vector search solutions
· Integrate ML models with Vector DBs and MongoDB
· Ensure code quality, scalability, and production readiness

Essential Skills:
Data Science Engineer (Customer Location Los Angels Mason)Role OverviewThe Data Science Engineer will develop scalable ML and Generative AI solutions| specializing in model training| document processing pipelines| and vector search implementations. Strong Python expertise and experience across modern ML and GenAI workflows are essential.

Skills: Digital : Machine Learning~Digital : Mongo DB~Digital : Azure Machine Learning (ML)~Digital : Python for Data Science~AI & Gen AI - Products & Tools
 

Key Skills

Education

Any Gradute