Azure AI Engineer

Qode

  • Haryana
  • Permanent
  • Full-time
  • 28 days ago
  • Apply easily
Mandatory Certifications (Any 1)1. AI-102 Microsoft Certified: Azure AI Engineer Associate.2. DP-100 Microsoft Certified: Azure Data Scientist Associate.Good To Have1. Azure Storage / Azure Deployments / Azure Data Factory2. Database Skills - SQL ServerRequirements:
  • Proven experience with Azure cloud services, especially Azure OpenAI and Azure Search.
  • Strong proficiency in Python, GitLab, GitHub Copilot, VS Code, Postgres RDBMS, vector databases like ChromaDB, Azure Search.
  • Good to have - Java, Java Sprint frameworks, maven, IntelliJ, ReactJS.
  • Experience implementing RAG (Retrieval-Augmented Generation) patterns in real-world applications.
  • Familiarity with microservices and API development.
  • Knowledge of data security, privacy, and compliance best practices.
  • 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.
  • Develop automated test suites to ensure accuracy, reliability, and performance of AI models and chat interactions.
  • 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.
  • Validate AI outputs for correctness, relevance, and compliance with business requirements.
  • Understand and apply principles of Responsible AI, including fairness, transparency, explainability, and privacy.
  • Ensure compliance with ethical standards and regulatory requirements in AI development and deployment.
  • Document testing procedures, validation results, and responsible AI practices for audit and continuous improvement.
  • Experience with automated testing, CI/CD pipelines, and DevOps practices.
  • Excellent problem-solving, communication, and collaboration skills.
Preferred Qualifications:
  • Experience with telemetry analytics, observability platforms, or similar domains.
  • Familiarity with AI/ML model deployment and MLOps in Azure.
  • Knowledge of banking, payments, or financial services applications
Locations: -Gurgaon, Hybrid (4 Days), No ODCGrade, Experience: -4A/4B, 6 Y – 10 YNotice Period: -look for immediate, 30 Days, 60 Days.

Qode

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