Agentic AI Developer - Manager/Architect

10 - 14 years

20 - 27 Lacs

Posted:13 hours ago| Platform: Naukri logo

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Work from Office

Job Type

Full Time

Job Description

Key Responsibilities:


  • Design, develop, and deploy AI/ML models using Microsoft Azure AI services (e.g., Azure Machine Learning, Cognitive Services, OpenAI on Azure) and have experience on Agentic Frameworks.

  • Collaborate with stakeholders to translate business challenges into AI-based solutions.

  • Lead end-to-end AI projects: from data collection and preprocessing to model training, evaluation, and deployment.

  • Integrate open-source frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) into Microsoft cloud environments.

  • Optimize AI pipelines using MLOps tools (e.g., Azure ML Pipelines, GitHub Actions, MLflow).

  • Develop data science models for predictive analytics, NLP, computer vision, or generative AI applications.

  • Champion responsible AI practices, data governance, model fairness, and transparency.

  • Mentor junior data scientists and engineers; conduct code reviews and knowledge-sharing sessions.

Required Qualifications:


  • 10+ years

    of experience in AI, machine learning, or data science roles.

  • Strong experience with

    Microsoft AI/ML stack

    : Azure Machine Learning, Azure Cognitive Services, Power BI with AI, Azure Synapse Analytics.

  • Proficiency in open-source AI frameworks:

    TensorFlow, PyTorch, Hugging Face, Scikit-learn

    .

  • Strong programming skills in

    Python

    (preferred), R, or C#.

  • Deep understanding of

    data modeling

    ,

    statistical analysis

    , and

    algorithm development

    .

  • Experience with

    cloud-native AI deployments

    and

    containerization (Docker, Kubernetes)

    .

  • Hands-on knowledge of

    MLOps

    , CI/CD pipelines, and AI lifecycle management.

  • Experience working in agile and cross-functional teams.

  • Excellent communication, leadership, and presentation skills.

Preferred Qualifications:


  • Microsoft certifications such as:


    • Azure AI Engineer Associate

    • Azure Data Scientist Associate

    • Azure Solutions Architect Expert


  • Experience integrating AI into Microsoft Power Platform and Dynamics 365.

  • Exposure to generative AI (e.g., OpenAI, GPT models on Azure, LLM fine-tuning).

  • Experience in multi-cloud or hybrid-cloud AI architecture.

  • Familiarity with open-source data versioning and pipeline tools (e.g., DVC, Kedro, Prefect).

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