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Tier-1 employer plus mid-level (3-7 yrs) and metro location drives high applicant competition.
Requires ML/AI specialist skills, Azure ecosystem and LLM experience, reducing cross-industry transferability.
Mandatory 3–7 years, required AI-900 certification, and specific Azure/LLM tech stack enforce strict filters.
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Design, develop, and deploy AI/ML models using Azure App Services, Azure Kubernetes Service, and AI frameworks like Lang-Chain, Semantic Kernel, and PyTorch.
Implement AI solutions with Microsoft .NET framework integrating Microsoft Teams and Graph API; perform prompt engineering and optimization of Large Language Models.
Build and maintain CI/CD pipelines with Azure DevOps, manage data storage via Azure Blob Storage, and handle data preprocessing and feature engineering for structured and unstructured data.
3-7 years of experience in AI/ML development.
Bachelor's degree in Engineering (BTech/BE) or Master's (MTech) from a reputed institution/university.
Strong proficiency in Python, TypeScript, and/or C#; experience with Azure Cognitive Services, Azure Machine Learning, Azure Bot Services, Lang-Chain, Semantic Kernel, PyTorch, and Scikit-learn.
Mandatory certification: AI-900 Azure AI Fundamentals; DP-100 Azure Data Scientist Associate preferred.
Experienced in cloud-based AI/ML deployment with a strong focus on Azure technologies and Microsoft ecosystem integrations.
Skilled in NLP, Large Language Models, Vectorization, and Prompt Engineering, able to optimize and tune AI models effectively.
Capable of managing end-to-end AI/ML project lifecycle including design, development, deployment, CI/CD implementation, and collaboration within teams.