AI/ML Engineer

Skill set

· Python (Expert level) · Machine Learning & Model Training o Training, evaluation, fine-tuning o Tagging and labeling workflows · Generative AI & LLMs o Prompt engineering for LLM-based applications · Document Processing o Document extraction, parsing, and chunking o Handling structured & unstructured data · Embeddings & Vector Search o Embedding generation o Vector database integration · Databases o Vector Databases o MongoDB · Production-grade ML Engineering o Scalable, production-ready ML/GenAI solutions

Roles & Responsibilities

This role is for a hands-on AI/ML Engineer who will design, build, and deploy production‑grade Machine

Learning and Generative AI solutions. The candidate must have strong Python expertise and practical

experience taking ML and GenAI use cases from development to deployment.

The role focuses heavily on LLM-based applications, including prompt engineering, document

processing pipelines, and embedding-based search solutions. The engineer will work with both

structured and unstructured data, building pipelines for document extraction, parsing, and chunking,

and integrating ML models with Vector Databases and MongoDB.