What are the responsibilities and job description for the AI Engineer (Azure AI Studio / Azure AI Foundry) | Remote | position at Xlysi?
Job Summary
We are looking for an experienced AI Engineer with strong hands-on expertise in Azure AI Studio and Azure AI Foundry, along with solid Python development skills. The ideal candidate will design, build, deploy, and operationalize AI/ML solutions on Azure, working closely with data scientists, cloud engineers, and business stakeholders.
Key Responsibilities
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Design, develop, and deploy AI/ML solutions using Azure AI Studio and Azure AI Foundry
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Build, train, fine-tune, and evaluate machine learning and generative AI models
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Implement end-to-end MLOps pipelines including model versioning, deployment, and monitoring
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Develop scalable AI services and APIs using Python
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Integrate AI solutions with Azure services such as Azure Data Lake, Synapse, Blob Storage, and Azure SQL
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Optimize model performance, cost, and reliability in production environments
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Implement security, governance, and access controls using Entra ID, RBAC, and Key Vault
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Monitor, troubleshoot, and enhance deployed AI workloads
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Collaborate with cross-functional teams to translate business requirements into AI solutions
Required Skills & Qualifications
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Strong hands-on experience with Azure AI Studio and Azure AI Foundry
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Proficiency in Python for AI/ML development and automation
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Experience with machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn)
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Solid understanding of Generative AI, prompt engineering, and model fine-tuning
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Experience with MLOps, CI/CD pipelines, and model lifecycle management
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Familiarity with Azure cloud services and data platforms
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Experience developing and consuming REST APIs
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Knowledge of cloud security best practices and identity management
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Strong problem-solving and communication skills