Description

Job Description-

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.
An ideal candidate is someone who understands end-to-end ML workflows—from data preparation,
tagging, and labeling, through model training, evaluation, and fine-tuning—while ensuring solutions

Key Skills

Education

Any Graduate