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Strong brand, metro Bangalore, hybrid role and generalist DevOps/MLOps title drive high competition.
Requires combined DevOps, MLOps, GenAI and RPA expertise, reducing cross-industry transferability.
Explicit 6–10 years and many mandatory tech stacks and ML/RPA requirements increase strictness.
Design, implement, and maintain CI/CD pipelines and automation workflows for DevOps, MLOps, and GenAI solutions.
Deploy, monitor, and optimize machine learning and GenAI models in production for performance, scalability, and reliability.
Collaborate with RPA teams to integrate automation with enterprise applications and troubleshoot production issues with permanent fixes.
6–10 years of experience in DevOps, MLOps, or related enterprise roles.
Hands-on experience with RPA tools (WorkFusion, Automation Anywhere, or UiPath) and automation development using Selenium, Java, and Python.
Experience with CI/CD tools (Jenkins, GitLab CI, Azure DevOps), containerization and orchestration (Docker, Kubernetes), and infrastructure automation (Terraform, Ansible, or CloudFormation).
Experience deploying and optimizing ML/GenAI solutions using TensorFlow, PyTorch, Hugging Face, plus working knowledge of cloud platforms (AWS, Azure, GCP).
Senior engineer with extensive experience integrating DevOps and MLOps pipelines including CI/CD and container orchestration in enterprise cloud environments.
Demonstrated expertise in RPA workflows combined with ML/GenAI deployment and optimization, showing ability to manage live automation and analytics projects.
Proven track record in troubleshooting production issues, collaborating across analytics and business teams, and mentoring junior team members.