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 settings.
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)

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