Machine Learning Engineer - Hyderabad - Contract Hybrid role

Worldwide Technology (WWT), a 36-year-old global technology solutions provider specializing in systems integration, Infra-Cloud security, application development, AI Services, and supply chain solutions. With a workforce of 10,000+ employees and strategic partnerships with leading OEMs such as Cisco, Dell EMC, Microsoft, and NVIDIA, WWT delivers cutting-edge infrastructure, cloud, security, and custom application services to clients across 35 countries. Our Advanced Technology Centers (ATCs)—lab setup environments spanning over one million square feet of world-class integration and distribution space enable us to deliver unmatched value and innovation at scale. Recognized as one of the Best Places to Work by Glassdoor and Fortune for 14 consecutive years, WWT is also ranked #6 on India's Great Place to Work list for 2025.

WorldWide Technology Holding Co, LLC. (WWT) We currently have an exciting contract opportunity for the ML Engineer role in Hyderabad (Hybrid). If you are interested in this opportunity, please respond with an updated resume and the required details at the bottom of this email.

Position: ML Engineer

Work Location- Hyderabad (Hybrid)

Contract Opportunity

Responsibilities:

• Design and build MCP servers and tools that expose enterprise systems and workflows to AI agents.
• Implement Skills that orchestrate tools, data, and reasoning into repeatable, governed workflows.
• Contribute to the CLIENT AI Assist agentic harness, including planning, toolcalling, and orchestration logic.
• Build secure API wrappers where backend systems lack suitable authentication or entitlement models.
• Work closely with product teams in a build for capacity, transferring knowledge and establishing reusable patterns.
• Shape the developer experience for MCP and Skills, including templates, contribution guidance, and standards.
• Collaborate with Quality Engineers and SREs to ensure solutions meet quality, governance, and operational readiness expectations.

Skills Required:

• Strong Python development experience.
• Hands on experience with LLM and agent frameworks and agentic reasoning patterns.
• Practical understanding of Model Context Protocol (MCP), including server and tool patterns.
• Fast API and REST API design and implementation experience.
• Experience with prompt engineering and RAG based architectures.
• Containerisation and Kubernetes-based deployment experience.
• Ability to work across platform, product, and governance boundaries in an enterprise environment.