Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

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