Job Description Requirements

- Experience : 5 - 10 years in data science
- Programming : Minimum 5 years in Python
- Machine Learning/NLP : At least 4 years
- LLM & GenAI : Minimum 1.5 years with large language models and generative AI
- Database Management : At least 2 years with any database
- Cloud Deployment : 1+ years deploying ML models/Python apps on Azure or AWS
- LLMOps : Familiarity is a plus

Key Responsibilities

- Lead design, implementation, and optimization of ML, NLP, and LLM/GenAI solutions across the organization.
- Build, maintain, and scale Pythonbased ML pipelines, including data ingestion, preprocessing, feature engineering, and model training workflows.
- Manage associated databases and data stores to ensure reliable, highthroughput access for model training and inference.
- Deploy AI models on Azure and/or AWS, guaranteeing performance, reliability, and scalability in production environments.
- Champion LLMOps best practices, establishing robust versioning, monitoring, and continuousdelivery processes for AI models.
- Stay current with the latest research and industry trends in ML, NLP, and Generative AI, and actively mentor junior engineers and data scientists.

(ref:hirist.tech)

📌 GeBBS - Data Science Technical Lead - NLP/Machine Learning (Navi Mumbai)
🏢 Gebbs Healthcare Solutions
📍 Navi Mumbai