Data Science Engineer
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Job Location:
Woodland Hills, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
15 hours ago
Vacancies:
1 Vacancy
Job Summary
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
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
