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Tier-1 employer, metro Bengaluru, broad DevOps+MLOps skillset makes candidate competition high.
Medium because core DevOps skills transfer broadly but MLOps and RPA specializations increase domain specificity.
High due to explicit 6–10 years requirement and many mandatory DevOps, MLOps, RPA, cloud, and infra skills.
Design, implement, and maintain CI/CD pipelines for DevOps, MLOps, and automation workflows in enterprise settings.
Deploy, monitor, and optimize ML/GenAI models and automation solutions for performance, scalability, reliability, and cost efficiency.
Collaborate with cross-functional teams including RPA, analytics, and business units to integrate and enhance automation and AI-driven applications.
6–10 years of experience in DevOps, MLOps, or related roles in enterprise environments.
Strong hands-on experience with RPA technologies such as WorkFusion, Automation Anywhere, or UiPath; and programming skills in Selenium, Java, and Python.
Proficiency with CI/CD tools (Jenkins, GitLab CI, Azure DevOps), containerization/orchestration (Docker, Kubernetes), and infrastructure automation (Terraform, Ansible, CloudFormation).
Experience with ML/GenAI frameworks (TensorFlow, PyTorch, Hugging Face), cloud platforms (AWS, Azure, GCP), and production troubleshooting; Work Experience Required: 6–10 years.
Demonstrated ability to manage complex CI/CD pipelines and deploy scalable ML/GenAI models in production environments.
Experience integrating RPA automation with enterprise business applications (e.g. Salesforce, SAP, ServiceNow).
Comfortable working in hybrid work models collaborating closely with cross-disciplinary teams including analytics, data engineering, and automation specialists.