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Cloud Data Science Lead at Virtusa UK Limited

Minneapolis, Minnesota, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Jun, 26

Salary

0.0

Posted On

14 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Python, Net, Git, Rest Apis, Ci/Cd, React, Gh Copilot, Claude Code, SdLC, Ai/Ml, Full-Stack, Prompt Flows, Tool Integration, Testing, Vulnerability Remediation

Industry

IT Services and IT Consulting

Description

Role Summary Codes and integrates AI/ML outputs into applications using traditional SDLC practices without automated ML pipelines. Includes engineer focused on UI/UX. Uses AI Agents effectively to accelerate delivery. Key Responsibilities :- - Build full-stack applications that integrate AI/ML outputs into user-facing and backend workflows. - Develop APIs and services that orchestrate model inference, prompt flows, and agent/tool integrations. - Leverage AI coding assistants (e.g., GitHub Copilot, agentic IDEs) to accelerate delivery while maintaining quality. - Implement UI/UX experiences for AI-enabled features (explanations, feedback loops, human-in-the-loop controls). - Apply secure SDLC practices: code reviews, testing, dependency management, and vulnerability remediation. - Partner with architects and platform teams to align to standards and reuse shared components. Required Qualification:- - 5+ years building production software (backend and/or frontend) in Java/Python/.NET ecosystems. - Experience with web frameworks and modern UI (React or similar) and REST API development. - Working knowledge of CI/CD, Git workflows, and automated testing. - Comfort integrating with ML services, LLM/agent runtimes, or data platforms via APIs. - Strong problem-solving skills and ability to deliver iteratively in an agile environment. Preferred / Nice to have :- - Experience building internal tools or copilots with prompt engineering and tool/function calling. - Experience with observability for AI features (quality metrics, prompt/model versioning). - UX experience designing AI interactions and feedback capture. Skills:- Java/Python/.NET, Git, REST APIs, CI/CD basics, React; GH Copilot, Claude Code (or agentic IDE)

Responsibilities

The role involves building full-stack applications that integrate AI/ML outputs into user-facing and backend workflows, including developing APIs for model inference and agent orchestration. Key tasks include implementing UI/UX for AI features and applying secure SDLC practices throughout development.