Lead II - ML Engineering Data Science Engineer (Onsite)

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