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Tier-1 brand, Bangalore location, and broad mid-senior generalist skillset increase applicant competition.
Requires specialized MLOps, GenAI, and RPA expertise, limiting transferability across industries.
Multiple mandatory technologies and explicit 6–10 years experience enforce strict filtering.
Design, implement, and maintain CI/CD pipelines for DevOps, MLOps, and automation workflows, including deploying and optimizing ML and GenAI models in production.
Develop and enhance live automation and analytics projects, collaborating with RPA teams and integrating automation with enterprise applications.
Automate infrastructure provisioning using tools like Terraform, Ansible, and container orchestration with Docker/Kubernetes; troubleshoot and fix production issues.
6–10 years of experience in DevOps, MLOps, or related enterprise roles.
Strong hands-on experience with RPA technologies such as WorkFusion, Automation Anywhere, or UiPath; and automation using Selenium, Java, Python.
Experience with CI/CD tools (Jenkins, GitLab CI, Azure DevOps), containerization and orchestration (Docker, Kubernetes, Helm).
Working knowledge of ML/GenAI frameworks (TensorFlow, PyTorch, Hugging Face), cloud platforms (AWS, Azure, GCP), and enterprise application integration.
Experienced with live production environment troubleshooting and permanent issue resolutions in DevOps/MLOps contexts.
Skilled in collaborative Agile/Scrum environments, mentoring junior staff, and knowledge-sharing within teams.
Proficient in deploying and optimizing GenAI and ML models, including model fine-tuning, prompt engineering, and monitoring using tools like Prometheus and Grafana.