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Hybrid remote, metro location, low experience barrier, and popular AI domain increase applicant competition.
Core LLM and ML skills are transferable across industries, though Azure Copilot specialization modestly reduces portability.
Several mandatory Azure AI, ML, and DevOps skills but minimal formal experience requirement.
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Design and implement AI-powered solutions using Azure AI Foundry, Copilot Studio, and Azure OpenAI focusing on scalability, security, and performance.
Build and customize AI copilots integrated with business workflows using conversational and generative AI capabilities.
Collaborate with stakeholders to translate requirements into technical AI solutions, experiment with AI models, and deploy with best practices.
2–3 months of hands-on experience or strong interest in Azure AI Foundry, Copilot Studio, and Azure AI services.
Proficient in Python programming and familiar with SQL.
Ability to work onsite two days per week in Bangalore, Pune, Hyderabad, or Chennai.
Work Experience Required: Not explicitly mentioned in the JD beyond 2–3 months experience with Azure AI tools.
Someone with early-stage practical experience or strong interest in emerging Azure AI technologies and Microsoft AI ecosystems.
Comfortable working independently and collaboratively across global teams to deliver AI solutions.
Has foundational programming skills and understanding of AI concepts like LLMs, prompt engineering, and secure API development.