DevOps & MLOps Engineer – Automation, Analytics & GenAI
Bengaluru, Karnātaka, India
INR 3000K-3500K (estimate) Senior-level Full Time
Tasks
- Automate infrastructure provisioning and management
- Collaborate with RPA teams to integrate automation solutions
- Deploy monitor and optimize ML and GenAI models in production
- Design, implement, and maintain CI/CD pipelines
- Develop and enhance automation workflows
- Document processes conduct knowledge sharing and mentor junior team members
- Implement containerization and orchestration
- Integrate automation with enterprise applications
- Optimize GenAI solutions for accuracy performance cost
- Troubleshoot production issues and perform root cause analysis
Perks/Benefits
- Career Development Programs
- Health and wellbeing benefits
- Hybrid work schedule
- Inclusion and flexibility for work life needs
- Mentoring and knowledge sharing
Skills/Tech-stack
AWS | Agile | Ansible | Automation Anywhere | Azure | Azure DevOps | CI/CD | Cause analysis | CloudFormation | Docker | ELK Stack | Elasticsearch | GCP | GitLab CI | Grafana | Helm | Hugging Face | Java | Jenkins | Kibana | Kubeflow | Kubeflow Pipelines | Kubernetes | Logstash | ML Model Deployment | ML model monitoring | MLOps | MLflow | Machine Learning | Model Deployment | Model Monitoring | Prometheus | Prompt engineering | PyTorch | Python | RPA | Root Cause Analysis | Root cause | SAP | Salesforce | Scrum | Selenium | ServiceNow | Sparring | TensorFlow | Terraform | UiPath | Workfusion
Education
N/A
Roles
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