Data Science Engineer
Woodland Hills, CA (Hybrid)
Contract
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, and 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 2 – Yrs of Exp – 6+ – Python, hands-on experience in model training, and 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
Skill 6 – Yrs of Exp – 6+ – Solid understanding of ML algorithms and Generative AI concepts Experience working with Vector Databases and/or MongoDB
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
Best Regards,
Devendra Sahu | Associate Account Manager | Sumeru Inc.
2401 15th Street NW, Washington DC – 20009
devendra.sahu@sumerusolutions.com
