Hi Vendors,
I hope your day is going well
Please find the below requirements and let me know your response with an updated resume.
Job Title: Lead II – ML Engineering (Data Science Engineer)
Location: Woodland Hills, CA
Work Type: Onsite/Hybrid
Role Overview
We are seeking a highly skilled Data Science Engineer to design and develop scalable Machine Learning (ML) and Generative AI (GenAI) solutions. The ideal candidate will possess deep expertise in Python, hands-on experience in model training, document processing pipelines, and strong knowledge of vector databases and modern ML/GenAI frameworks.
Key Responsibilities
- Develop and deploy ML 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 Databases and MongoDB
- Ensure code quality, scalability, and production readiness
Required Qualifications
- Expert-level proficiency in Python
- Strong experience in model training, evaluation, and tagging workflows
- Hands-on experience with document extraction and chunking techniques
- Solid understanding of ML algorithms and Generative AI concepts
- Experience working with Vector Databases and/or MongoDB
- Experience with modern ML and GenAI frameworks
Must-Have Skills
- 12+ years: Data Science / ML Engineering experience with scalable ML & GenAI solutions
- 6+ years: Python, model training, and document processing pipelines
- 6+ years: Vector databases and ML/GenAI frameworks
- 6+ years: LLM-based applications, document extraction, parsing, chunking, and model fine-tuning
- 6+ years: Embeddings, vector search, and ML model integration with MongoDB
- 6+ years: ML algorithms and Generative AI concepts
Preferred Qualifications
- Healthcare domain experience (Good to have)