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Strong Tier-1 brand, mid-level ML role, metro location, and broad Azure/LLM skillset.
Medium because core ML skills are transferable, but Azure and Microsoft integration increases domain specificity.
High due to explicit 3–7 years, mandatory AI-900 certification, and specific Azure/LLM technology requirements.
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Design, develop, and deploy AI/ML models on Azure App Services and Azure Kubernetes Service with a focus on AI frameworks such as Lang-Chain, Semantic Kernel, and PyTorch.
Implement and optimize AI solutions including prompt engineering, tuning of Large Language Models, and integration with Microsoft Teams and Graph API.
Manage CI/CD pipelines using Azure DevOps, handle data preprocessing and feature engineering, and document AI models and development processes clearly.
3-7 years of professional experience in AI/ML development.
Must have strong proficiency in Python, TypeScript, and/or C# and experience with AI frameworks like Lang-Chain, Semantic Kernel, PyTorch, and Scikit-learn.
Mandatory certifications: AI-900: Azure AI Fundamentals; DP-100: Azure Data Scientist Associate preferred.
Bachelor's degree in Engineering (BTech/BE) or Master's (MTech) from a reputed institution as per hiring norms.
Experienced in cloud-based AI/ML deployment specifically using Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services.
Familiar with NLP, Large Language Models (LLMs), Vectorization, and prompt engineering techniques.
Skilled in integrating AI solutions with Microsoft ecosystem tools like Microsoft Teams and Graph API and managing CI/CD pipelines with Azure DevOps.