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Tier-1 brand, metro Bangalore, popular DevOps/MLOps role and mid-level seniority increase competition.
Requires domain-specific DevOps/MLOps platform expertise, moderately transferable across industries.
Multiple mandatory technologies and domain skills required, but no explicit years.
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Own and ensure stability, uptime, and incident management of DevOps, MLOps, and GenAI production platforms with a focus on reducing incident volume and MTTR.
Lead hands-on deployment and optimization of CI/CD pipelines, MLOps workflows, GenAI model deployments, and scalable cloud infrastructure using Docker, Kubernetes, and Azure.
Manage and govern automation/bot ecosystems (WorkFusion/UiPath), improve AI accuracy and governance, and interface with stakeholders to translate requirements and report KPIs.
Experience with DevOps/MLOps tools (Jenkins, GitLab, Azure DevOps); Cloud and container technologies (Azure, Docker, Kubernetes).
Programming skills in Python, Java, and Selenium.
Experience in RPA platforms like WorkFusion, UiPath, or Automation Anywhere; production support including incident and change management with ITIL governance.
Work Experience Required: Not explicitly mentioned in the JD; Hybrid work mode with expectation of 2 days per week onsite at HPE office.
Proven ability to manage complex production platforms end-to-end including reliability and incident resolution in DevOps, MLOps, and AI contexts.
Hands-on technical expertise in deploying and tuning ML/GenAI models and building scalable infrastructure and automation pipelines.
Strong stakeholder management skills capable of translating business needs into technical solutions and mentoring junior engineers in a fast-paced, innovative IT services environment.