ML Engineer – Remote from EU/US Business Hours Overlap

🔥 21 hours ago

🇪🇺 Europe – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Virtusa

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

💼 Consulting

🏢 Enterprise

🤖 Artificial Intelligence

💰 $108M Post-IPO Equity - Virtusa on 2017-05

Consulting • Enterprise • Artificial Intelligence

Virtusa is a global technology services and consulting company that helps enterprises reimagine their business through digital engineering, AI-driven and domain-focused solutions. It offers consulting, design, engineering, automation, analytics and optimization services, and partners with organizations across banking & financial services, communications, healthcare, insurance, retail, manufacturing and other industries to deliver enterprise-scale technology and AI solutions. Virtusa emphasizes AI services, domain-driven solutions for the AI enterprise, and end-to-end digital transformation.

📋 Description

• 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 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

🏖️ Benefits

• Remote work arrangement • EU-based remote work with significant US business-hours overlap