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MLOps/DevOps/CloudOps
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- Posted 10 hours ago
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Job Description
Strong experience with AWS Cloud Services (EC2, S3, Lambda, IAM, EKS, ECS, CloudWatch, SageMaker). Hands-on experience with MLOps tools such as MLflow, Kubeflow, SageMaker, or Vertex AI. Experience in DevOps tools: Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps. Proficiency in Python scripting and automation. Expertise in Docker and Kubernetes. Knowledge of Infrastructure as Code tools such as Terraform or CloudFormation. Experience with monitoring tools like CloudWatch, Prometheus, and Grafana. Strong understanding of Linux systems and networking concepts. Experience with Git version control.
Design, build, and maintain scalable MLOps and DevOps solutions on AWS. Develop and manage CI/CD pipelines for ML model deployment and application releases. Automate infrastructure provisioning using Infrastructure as Code (IaC) tools. Deploy, monitor, and optimize machine learning models in production environments. Manage containerized applications using Docker and Kubernetes. Implement model versioning, experiment tracking, and monitoring frameworks. Ensure security, reliability, and high availability of cloud infrastructure. Collaborate with Data Scientists, ML Engineers, and Development teams to operationalize ML workflows. Troubleshoot deployment, performance, and infrastructure-related issues.
Design, build, and maintain scalable MLOps and DevOps solutions on AWS. Develop and manage CI/CD pipelines for ML model deployment and application releases. Automate infrastructure provisioning using Infrastructure as Code (IaC) tools. Deploy, monitor, and optimize machine learning models in production environments. Manage containerized applications using Docker and Kubernetes. Implement model versioning, experiment tracking, and monitoring frameworks. Ensure security, reliability, and high availability of cloud infrastructure. Collaborate with Data Scientists, ML Engineers, and Development teams to operationalize ML workflows. Troubleshoot deployment, performance, and infrastructure-related issues.
More Info
Key Skills
Infrastructure as Code
MLflow
GitHub Actions
Git version control
Kubeflow
Vertex AI
MLOps tools
Linux systems
AWS Cloud Services
EKS
SageMaker
GitLab CI CD
About Company
Skills:
S3, RDS, Cloudformation, Jenkins, Git, Lambda, MLops, Docker, Terraform, ECS, Iam, Databricks, Python, AWS, EKS, SageMaker
Skills:
AWS, Databricks, Python, Kubernetes, Docker, Terraform, Jenkins, Git, EKS, MLOps workflows, AWS SageMaker