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injection molding · CNC machining

Ml Platform & Full Stack Ai Engineer Hyderabad (India)

HyderabadPosted 1 month ago
Software engineeringMid-levelFull Time; Regular
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JOIN THE TEAM AS OUR RECENT ML PLATFORM & FULLSTACK AI ENGINEER INDIA 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. \n What You'll Do: BUILD & SCALE THE AI PLATFORM FOUNDATION 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. DEVELOP AI & GENAI INFRASTRUCTURE 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. BUILD DATA PIPELINES & PRODUCTION INTEGRATIONS 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 .

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