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Metro location, mid-level ML role, and broad skillset requirements increase applicant competition.
LLM/MLOps operational skills are transferable across industries but require specific domain experience.
Explicit 3+ years requirement plus mandatory LLM/MLOps, Azure OpenAI, CI/CD, and Python/C# skills.
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Build and evolve LLMOps practices to enable reliable, secure, and scalable deployment of AI-powered solutions.
Manage prompt lifecycles, model configurations, and evaluation workflows to ensure consistent, high-quality generative AI outcomes.
Drive innovation using responsible AI rollout strategies including A/B testing, feature flags, and human-in-the-loop processes while maintaining compliance and governance.
3+ years of experience in LLMOps, AI operations, software engineering, DevOps, cloud engineering, MLOps, or related roles involving generative AI.
Experience with Azure OpenAI or similar platforms, CI/CD tools like Azure DevOps or GitHub Actions, and programming in Python or C#/.NET.
Bachelor’s degree or equivalent experience in computer science, engineering, or a related discipline.
Location: Bangalore, India.
Experienced in operationalizing LLMOps across cross-functional teams including AI engineers, data scientists, platform teams, and business stakeholders.
Skilled at managing the full lifecycle of generative AI solutions, including deployment, monitoring, evaluation, and ongoing improvement.
Capable of embedding auditability, traceability, and compliance into AI workflows while balancing innovation and governance.