MLOps & AI Platform Engineer
Bengaluru, Karnataka
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Automate machine learning pipelines
- Build CI/CD pipelines for AI workloads
- Deploy and manage ML workloads on Kubernetes
- Design and maintain MLOps platforms
- Ensure security scalability reliability
- Implement infrastructure-as-code
- Implement model versioning and model registry
- Monitor platform health and model performance
- Troubleshoot production issues and optimize performance
Perks/Benefits
- N/A
Skills/Tech-stack
AI Pipelines | Amazon SageMaker | Amazon SageMaker Pipelines | Amazon Web Services | Apache Airflow | Bash | CI/CD | Cloud platform | Docker | Experiment tracking | GitHub Actions | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubeflow | Kubernetes | MLflow | Microsoft Azure | Model Registry | Model versioning | Prometheus | Python | Sagemaker Pipelines | Terraform | Vertex AI | Vertex AI pipelines | Web Services | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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