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Niche senior AI/MLOps Azure role reduces competition despite Bangalore metro location.
High because role requires specialized AI platform, Azure OpenAI, AKS, and MLOps expertise.
Explicit 8–12 years plus mandatory Azure, AKS, Kubernetes, IaC, and MLOps skills increases filter strictness.
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Lead and mentor Data Scientists and AI Engineers, including conducting performance reviews and creating development plans.
Define and oversee technical roadmaps, platform reliability, scalability, and responsible deployment of generative AI services using cloud-based AI infrastructure (Azure).
Collaborate with global Data & AI teams and business stakeholders to manage multiple AI projects from concept to production, implementing agile methodologies.
8 to 12 years of experience in cloud platform engineering, AI/ML Ops, or AI infrastructure with senior-level leadership experience.
Bachelor’s degree in Computer Science, Data Science, or related STEM discipline required.
Hands-on experience with Microsoft Azure cloud services including AKS, Azure ML, and Azure OpenAI; Kubernetes platform engineering and cluster operations.
Experience with containerization (Docker), CI/CD pipelines (Azure DevOps, GitHub Actions), Infrastructure as Code (Terraform preferred), and cloud security/network architecture.
Experienced leader able to manage and develop teams of Data Scientists and AI Engineers with strong mentoring skills.
Proven track record in designing and delivering scalable, secure, and resilient AI/ML cloud-native platforms, especially on Microsoft Azure.
Able to operate effectively in complex, cross-functional collaborative environments managing multiple projects with agile frameworks.