Algorithms, Artificial Intelligence (AI), Data Analysis, Data Science, Database Design, Documentation Models, Machine Learning, MongoDB, Python Programming/Scripting Language, Scalable System Development, Shallow Parsing, Software Engineering, Structured Data, Unstructured Data, Workflow Analysis
ML Engineering Data Science Engineer
Location - Woodland Hills, CA Hybrid
Must Have Skills
Skill 1 – Yrs of Exp – 12+ - Data Science Engineer to design and develop scalable ML and Generative AI solutions.
Skill 2 - Yrs of Exp – 6+ - Python, hands-on experience in model training, document processing pipelines.
SKill 3 - Yrs Of Exp - 6+ - vector databases and modern ML/GenAI frameworks, deploy machine learning and GenAI solutions using Python Design
SKill 4 - Yrs Of Exp - 6+ - LLM-based applications Build document extraction, parsing, and chunking pipelines for structured and unstructured data Train, evaluate, and fine-tune ML models
Skill 5 - Yrs of Exp - 6+ - workflows Implement embedding generation and vector search solutions Integrate ML models with Vector DBs and MongoDB Ensure code quality, scalability, and production readiness
Skill 6 - Yrs of Exp - 6+ - Solid understanding of ML algorithms and Generative AI concepts Experience working with Vector Databases and/or MongoDB
Job Title: Lead II - ML Engineering Data Science Engineer Role Overview We are seeking a highly skilled Data Science Engineer to design and develop scalable ML and Generative AI solutions. The ideal candidate will have 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 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 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