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Azure AI Engineer

<div><strong>Mandatory Certifications (Any 1)</strong></div><div>1.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;AI-102 Microsoft Certified: Azure AI Engineer Associate.</div><div>2.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;DP-100 Microsoft Certified: Azure Data Scientist Associate.</div><div><br></div><div><strong>Good To Have</strong></div><div>1.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Azure Storage / Azure Deployments / Azure Data Factory</div><div>2.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Database Skills - SQL Server</div><div><br></div><div><strong>Requirements:</strong></div><ul><li>Proven experience with Azure cloud services, especially Azure OpenAI and Azure Search.</li><li>Strong&nbsp;proficiency in <strong>Python</strong>, GitLab, GitHub Copilot, VS Code, Postgres RDBMS, vector databases like ChromaDB, Azure Search.</li><li>Good to have - Java, Java Sprint frameworks, maven, IntelliJ, ReactJS.</li><li>Experience implementing RAG (Retrieval-Augmented Generation) patterns in real-world applications.</li><li>Familiarity with&nbsp;microservices and API development.</li><li>Knowledge of data security, privacy, and compliance best practices.</li><li>Design and implement robust testing and validation strategies for AI solutions, including unit, integration, and end-to-end tests for chat interfaces and AI-driven features.</li><li>Develop automated test suites to ensure accuracy, reliability, and performance of AI models and chat interactions.</li><li>Integrate the application with AI data models via secure, scalable APIs, ensuring seamless data flow and real-time interaction between the application and AI services.</li><li>Validate AI outputs for correctness, relevance, and compliance with business requirements.</li><li>Understand and apply principles of Responsible AI, including fairness, transparency, explainability, and privacy.</li><li>Ensure compliance with ethical standards and regulatory requirements in AI development and deployment.</li><li>Document testing procedures, validation results, and responsible AI practices for audit and continuous improvement.</li><li>Experience with automated testing,&nbsp;CI/CD pipelines,&nbsp;and DevOps practices.</li><li>Excellent problem-solving, communication, and collaboration skills.</li></ul><div>&nbsp;</div><div><strong>Preferred Qualifications:</strong></div><ul><li>Experience with telemetry analytics, observability platforms, or similar domains.</li><li>Familiarity with AI/ML model deployment and MLOps in Azure.</li><li>Knowledge of banking, payments, or financial services applications</li></ul><div><br></div><div><strong><u>Locations: -</u></strong></div><div>Gurgaon, Hybrid (4 Days), No ODC</div><div><br></div><div><strong><u>Grade, Experience: -</u></strong></div><div>4A/4B, 6 Y – 10 Y</div><div><br></div><div><strong><u>Notice Period: -</u></strong></div><div>look for immediate, 30 Days, 60 Days.</div>