Description

You will develop, implement, and maintain machine learning models using GenAI agentic frameworks.

This role is on-site.

Responsibilities

• Build and fine-tune Large Language Models (LLMs) and utilize Retrieval-Augmented Generation (RAG) to enhance AI solutions.
• Design graph databases for relationship-oriented data modeling using NetworkX or AWS Neptune.
• Deploy scalable machine learning solutions leveraging AWS services including S3, ECS, ECR, Lambda, and SageMaker.
• Manage data preparation and processing workflows using Glue and PySpark.
• Monitor models in production and govern them according to MDLC and MPLC processes.

Required Skills

• 5+ years of experience in machine learning or related fields.
• Proficiency with GenAI and agentic frameworks.
• Hands-on experience with LLM fine-tuning and prompt engineering.
• Experience with AWS services: S3, ECS, ECR, Lambda, and SageMaker.
• Data engineering expertise using PySpark and Glue.
• Knowledge of graph database design using NetworkX or AWS Neptune.
• Understanding of MPLC and MDLC governance processes.
• Ability to implement secure API integrations and data security principles.

Key Skills

Education

Any Gradute