Description

You will lead the design, development, and deployment of Generative AI and LLM-based solutions on AWS.

This role is on-site.

Responsibilities

• Architect and implement Retrieval-Augmented Generation (RAG) pipelines using LangChain and LlamaIndex.
• Manage MLOps pipelines for model training, deployment, monitoring, and versioning.
• Ensure end-to-end Gen AI testing, validation, and compliance with GxP processes.
• Integrate Gen AI capabilities into business applications using SAP Gen AI Hub and RPA tools.

Required Skills

• 6+ years of experience in Data Science, AI/ML, or Advanced Analytics.
• Hands-on experience delivering Gen AI and LLM solutions in production environments.
• Strong experience with AWS cloud services, specifically Amazon Bedrock and SageMaker.
• Practical experience building and deploying RAG-based Gen AI architectures.
• Solid background in machine learning, deep learning, and MLOps.
• Proficiency with frameworks such as TensorFlow and Spark ML.
• Experience working in regulated environments requiring GxP validation.
• Knowledge of SQL and data warehousing concepts.
• Familiarity with ITIL and LEAN principles for operational efficiency.

Preferred Skills

• Experience with Azure AI services.

Key Skills

Education

Any Graduate