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Azure AI Engineer

Azure AI Engineer

Qode

0 years

0 Lacs

Haryāna

Posted:1 day ago| Platform: GlassDoor logo

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Skills Required

azure ai certifications data storage database sql server openai python gitlab github code java maven intellij retrieval microservices api security compliance design testing strategies integration chat test reliability flow transparency development audit devops communication collaboration analytics ml model deployment payments

Work Mode

On-site

Job Type

Part Time

Job Description

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 Server Requirements: • 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 ODC
Grade, Experience: -4A/4B, 6 Y – 10 Y
Notice Period: -look for immediate, 30 Days, 60 Days.

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Azure AI Engineer