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Cloud AI Engineer

đŸ”„ 0 minutes ago

đŸ‡ȘđŸ‡ș Europe – Remote

⏰ Full Time

🟠 Senior

🔮 Lead

đŸ€– AI Engineer

đŸ‘» Ghost score 10%

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Logo of Virtusa

Virtusa

10,000+ employees

Founded 1996

đŸ’Œ Consulting

🏱 Enterprise

đŸ€– 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

‱ Build and support cloud-based machine learning and artificial intelligence solutions ‱ Provide technical client service and consulting ‱ Build multi-step Agentic AI workflows using ADK, Agent Engine, LangChain, Vertex AI, and AgentSpace ‱ Apply Vertex AI, MLOps, Document AI, and Generative AI ‱ Work with recommendation engines, data pipelines, or distributed machine learning systems ‱ Develop and use deep learning and data warehousing technologies

🎯 Requirements

‱ Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related field, or equivalent practical experience ‱ Experience in machine learning and artificial intelligence ‱ Coding and scripting proficiency in Python, Perl, C, C++, or Java ‱ Experience in technical client service or consulting ‱ Fluent English communication skills ‱ Technical skills: Vertex AI, MLOps, Document AI, and Generative AI ‱ Experience building multi-step Agentic AI workflows with ADK, Agent Engine, LangChain, Vertex AI, and AgentSpace ‱ Solid understanding of production ML system practicalities ‱ 7+ years of hands-on experience with recommendation engines, data pipelines, or distributed machine learning ‱ Experience with deep learning frameworks such as TensorFlow, PyTorch, or XGBoost ‱ Knowledge of data warehousing concepts, including architectures, ETL/ELT, and analytic environments such as Apache Beam, Hadoop, Spark, or Hive ‱ Relevant experience in technical consulting

đŸ–ïž Benefits

‱ Fixed-term contract for 3,5 months

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