Job Description & Responsibilities

You will be responsible for building and scaling the foundational AI platform

that enables production-ready AI solutions across the organization. Working at

the intersection of AI infrastructure, software engineering, and systems

integration, you will help establish the tools, frameworks, and integrations

required to deploy and operate AI and GenAI applications at scale.

Design, build, and maintain the ML platform from the ground up, including

experiment tracking, model registries, model serving, CI/CD pipelines, and

monitoring capabilities.

Establish scalable infrastructure standards and engineering best practices

that enable rapid AI solution development and deployment.

Contribute to the creation of reusable AI platform components that support

multiple use cases across the organization.

Drive platform reliability, observability, security, and scalability from

design through production.

Own and enhance the infrastructure supporting GenAI applications, including

vector databases, LLM serving frameworks, retrieval systems, and evaluation

frameworks.

Design and implement scalable Retrieval-Augmented Generation (RAG)

architectures and supporting infrastructure.

Build and maintain evaluation, monitoring, and observability frameworks for

AI and GenAI systems.

Support the deployment and operationalization of both classical machine

learning models and GenAI applications.

Design and implement robust data pipelines that power machine learning and

GenAI solutions in production settings.

Develop integration layers that reliably connect AI services and outputs with

existing enterprise systems and business applications.

Build APIs, services, and distributed system components that support scalable

AI product delivery.

Collaborate closely .

Ml Platform & Full Stack Ai Engineer Hyderabad (India)

Job Description & Responsibilities