IT

ML Engineer( Remote from EU /US business hours overlap)

Itmagination
Posted 2 hours ago
EuropeRemoteEngineering & Development
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About Us

At Virtusa, every innovator has the potential to transform and lead in a digital world—but unlocking that potential takes more than technology; it takes a trusted partner who combines engineering excellence, creativity, and an AI-first mindset.

Together, we co-create solutions that help businesses grow faster, operate smarter, and make experiences better with technology.

Job Description

This is a remote position.

We are looking for an experienced ML Engineer to design, develop, integrate, and operationalize Generative AI solutions using Amazon Bedrock across patient-access, engagement, and analytics platforms.

The role will focus on bringing AI capabilities into production, from foundation-model evaluation and prompt engineering through to RAG, AI agents, enterprise integrations, model evaluation, security, and observability.

This Role requires overlap with US Business hours

Key Responsibilities

  • Design and develop Generative AI solutions using Amazon Bedrock.
  • Evaluate and integrate foundation models for different business use cases.
  • Develop prompt-engineering and Retrieval-Augmented Generation (RAG) solutions.
  • Build AI agents and model-enabled workflows.
  • Integrate Bedrock with enterprise data sources, APIs, and existing applications.
  • Implement model evaluation, guardrails, security, observability, and cost optimization.
  • Deploy and operationalize reliable, scalable, and secure AI solutions in production.
  • Apply strong software engineering, AWS, API integration, and MLOps practices.
  • Collaborate with Data Engineers, Software Engineers, Product teams, and SRE/RunOps teams.


Requirements

  • Strong experience as an ML Engineer / AI Engineer.
  • Hands-on experience with Generative AI and LLM-based solutions.
  • Practical experience with Amazon Bedrock and AWS.
  • Strong knowledge of RAG, prompt engineering, foundation models, and AI agents.
  • Experience integrating AI solutions with enterprise data sources and APIs.
  • Understanding of MLOps, model evaluation, observability, security, and AI guardrails.
  • Strong software-engineering and production deployment skills.
  • Ability to work effectively with cross-functional technical and product teams.
  • English at C1 level, with strong communication skills.
  • Ability to work remotely from the EU with significant US time-zone overlap.

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