MLOps Engineer
1 month ago
Job Role: MLOps Engineer
Work Experience: 2 to 4 Years
Work location: Bengaluru
Work Mode: Hybrid
Must Have Skills: MLOps, Kubernetes
Job Responsibilities
- Validate and track Kubernetes, and Amazon Cloud infrastructure. Kubectl is must.
- Proficiency in AWS EKS, Bedrock, SageMaker is must
- Knowledge of Kubeflow, ML Flow is nice to have
- Developing simple Algorithm Models tests is a must.
- Design, implement and optimize CI/CD solutions in Gitlab integrating Infrastructure-As-Code, Software Development, and Testing Pipelines
- Optimize Kubernetes and Cloud Native Observability solutions based on Prometheus, BigPanda, ServiceNow, Grafana, Kibana, ElasticSearch, and Jaeger.
- Design and manage platform tuning scenarios and recommend platform and its services configurations which are cost-efficient as well as suitable to a particular implementation using Observability tooling (above) and an understanding of Kubernetes performance tuning.
- Develop and extend container-based solutions using Docker and Helm
- Deploy, understand, and validate content in Kubernetes and AWS using tools like AWS CLI and kubectl
Educational Qualification : BSc/BCA/BTech/MSc/MCA/MTech
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