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Tier-1 brand, mid-level 4+ role, metro location and popular GenAI skills increase applicant competition.
Core ML and LLM skills transferable, but platform and Teams integration increases specialization.
Mandatory AI-900 certification, 4+ years, and specific cloud/ML tech make filters highly strict.
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Design, develop, and deploy AI/ML and Generative AI models and applications using Vertex AI, LangChain, Semantic Kernel, and Azure AI services.
Develop applications in Java Spring Boot or .NET Core and integrate solutions with Microsoft Teams and Microsoft Graph API.
Implement data preprocessing, feature engineering, vectorization, and CI/CD pipelines using Azure DevOps, Jenkins, or GitLab.
4+ years of relevant work experience in AI/GenAI development.
Mandatory skills: Python, TypeScript and/or C#, Vertex AI (Google Cloud), LangChain, Semantic Kernel, PyTorch, Scikit-learn.
Mandatory certification: AI-900 (Azure AI Fundamentals).
Education: B.E./B.Tech/M.Tech from a reputed institution as per hiring norms.
Experienced with integrating AI models with Microsoft Teams and Graph API indicating strong full-stack AI development skills.
Familiarity with cloud AI services across Azure and Google Cloud platforms, implying capability in multi-cloud environments.
Skilled in CI/CD processes and MLOps, suggesting operational ownership beyond development into deployment and maintenance.