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Senior, niche ML platform role in Bangalore reduces mass applicant pool despite metro location and established employer brand.
Role requires deep ML platform, LLM, and Azure experience, making cross-industry transfers difficult.
Explicit 8+ years, 3+ years AI platform experience and Azure/LLM requirements enforce strict filtering.
Design, develop, and scale secure, reliable, fault-tolerant cloud-native AI platform services and public APIs on Microsoft Azure.
Collaborate across teams to build end-to-end AI solutions including model deployment, training, and AI tooling with a focus on performance and security.
Lead technical excellence by participating in design/code reviews and mentoring junior developers to foster continuous learning and innovation.
Minimum 8+ years professional software engineering experience, including 3+ years in AI/ML systems or platforms.
Hands-on experience with Microsoft Azure PaaS services such as Azure Functions, AKS, and API Management.
Strong expertise in RESTful API design, security, authentication, authorization, and data privacy.
Work Experience Required: 8+ years software engineering, 3+ years AI/ML domain explicitly stated. Notice period: Not explicitly mentioned in the JD.
Experienced in building AI services focused on scalability, security, and cloud-native architectures within Agile teams.
Familiar with AI model lifecycle (deployment, training), AI orchestration tools (AI Foundry, Semantic Kernel), and AI standards (MCP, A2A).
Capable of mentoring and influencing cross-functional AI development teams with an engineering excellence mindset.