Job Description :
Job Title : ML Ops
Key Skills : Azure ML, DataBricks, ML Flow, DevOps methodologies, CI/CD pipelines, GitHub, GitHub Actions, YAML, Terraform, containerization, Kubernetes, Prometheus, Grafana, ELK stack, and AWS Sagemaker.
Responsibilities :
1. Collaborate with data scientists, engineers, and other stakeholders to streamline the machine learning model deployment process.
2. Design, build, and maintain CI/CD pipelines for machine learning model deployment and automation using tools like GitHub Actions, YAML, and Terraform.
3. Implement containerization strategies and manage Docker-based deployments for machine learning models.
4.
Utilize Kubernetes for orchestration and management of containerized applications.
5. Develop and maintain monitoring and alerting systems using Prometheus, Grafana, and ELK stack to ensure the health and performance of deployed models.
6. Implement and manage machine learning infrastructure on cloud platforms such as Azure ML and AWS Sagemaker.
7. Continuously optimize and improve MLOps workflows for scalability, reliability, and efficiency.
(ref:hirist.com)
▶️ MLOps Engineer – Azure/AWS SageMaker
🖊️ Augmentedresourcing
📍 Pune
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