AI MLOPS/LLMOps Engineer

About the role

Seeking a strong Data Engineer / AI Engineer with expertise in building and operationalizing large-scale AI and NLP solutions on cloud platforms. The ideal candidate should have hands-on experience integrating AI/LLM models into production workflows, developing scalable data pipelines, and processing large volumes of multilingual unstructured text.

What you'll do

• AI Module Integration & Inference Pipelines
• Integrate and adjust inference pipelines for NLP modules including document classification, entity extraction, de-identification (DEID)
• Connect DS-coded AI modules into end-to-end production workflows via Airflow DAGs on AWS EKS
• Build and tune hybrid search pipelines combining GTE multilingual dense embeddings with GIN lexical search on Aurora PostgreSQL
• Integrate with OpenAI-based API platform for multilingual query expansion and LLM-driven trend detection

What you need

• MLOps
• Machine learning
• SQL
• Python
• NLP
• LLMs
• B.Sc or B.Tech or B.E. or BCA or M.Sc or M.Tech or MCA

Good to have

• ETL
• AWS
• Airflow
• Databricks
• PostgreSQL
• CI/CD