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Strong brand, mid-level GenAI role in a metro city increases applicant competition significantly.
Specialized GenAI, LLM, and cloud tooling require specific ML/AI background, limiting transferability.
Mandatory 4+ years, specific AI tooling and an AI-900 certification raise screening strictness.
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Design, develop, and deploy AI/ML models primarily using Vertex AI and develop GenAI applications using LangChain and Semantic Kernel.
Perform prompt engineering, model tuning, and optimization for large language models (LLMs).
Develop applications in Java Spring Boot or .NET Core and integrate solutions with Microsoft Teams and Microsoft Graph API, including CI/CD pipeline implementation with Azure DevOps, Jenkins, or GitLab.
4+ years of relevant work experience in AI/ML development, specifically with Generative AI and LLM projects.
Mandatory skills: Python, TypeScript and/or C#, Vertex AI (Google Cloud), LangChain, Semantic Kernel, PyTorch, Scikit-learn.
Mandatory certification: AI-900 (Azure AI Fundamentals).
Educational qualification: B.E./B.Tech/M.Tech from a reputed institution as per hiring norms.
Experienced in developing and deploying AI/GenAI models within cloud environments (Google Cloud Vertex AI, Azure AI services).
Skilled in integrating AI solutions with enterprise collaboration tools like Microsoft Teams and Microsoft Graph API.
Practiced in AI model deployment, MLOps, and maintaining CI/CD pipelines for AI projects in Agile settings.