**Job Description
Roles & Responsibilities**
This role is for a hands-on Data Science 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 with 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 are scalable, high quality, and production-ready.
Key Responsibilities
Design and implement AI/ML solutions using Python and modern ML frameworks
Develop and optimize Prompt Engineering strategies for LLM-based systems
Build and deploy Retrieval-Augmented Generation (RAG) pipelines
Integrate LLMs via APIs (Az ure OpenAI preferred) into enterprise applications
Develop and orchestrate Agentic AI workflows with tool/function calling
Implement vector search solutions using Vector Databases
Ensure CI/CD integration and cloud deployment (Azure preferred)
Establish observability, monitoring, and evaluation frameworks for AI systems
Collaborate with cross-functional teams to deliver production-ready AI features
Must Have Technical/Functional Skills
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