Description

You will build and deploy AI/ML applications for an internal GenAI initiative, translating architectural designs into production-ready systems.

This role is on-site.

Responsibilities

• Execute end-to-end implementation of AI/ML solutions using GenAI and LLMs.
• Implement and manage MLOps pipelines using MLflow, AWS SageMaker, and AWS Bedrock.
• Collaborate with Product Owners, AWS, and LLM vendors to build internal AI applications.
• Adapt pre-defined architectural designs into functional, production-grade systems.

Required Skills

• 10+ years of hands-on experience in AI/ML engineering, including MLOps and production deployments.
• Expertise in Python, TensorFlow, Scikit-learn, NumPy, and PyTorch.
• Proficiency in AWS ML services, including SageMaker, Lambda, and S3.
• Practical experience with GenAI, LLMs, and prompt engineering.
• Solid understanding of AI/ML architectural concepts and production deployment strategies.

Key Skills

Education

Any Graduate