Role Overview:
The Data Science Engineer will develop scalable ML and Generative AI solutions, specializing in model training, document processing pipelines, and vector search implementations. Strong Python expertise and experience across modern ML and GenAI workflows are essential.
Key Responsibilities:
Develop and deploy Machine Learning and Generative AI solutions using Python
Design and refine prompt engineering strategies for LLM applications
Build document extraction, parsing, and chunking pipelines
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 Skills:
Expert-level proficiency in Python
Strong experience with 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 with vector databases and/or MongoDB Qualifications:
8-10 years of experience