Job Description
Job Summary:
We are seeking a skilled Cloud and MLOps Developer to design, implement, and manage cloud infrastructure and MLOps pipelines that support the deployment, monitoring, and automation of machine learning models at scale. You will collaborate with data scientists, ML engineers, and DevOps teams to ensure reliable and secure delivery of AI/ML solutions using modern cloud platforms and CI/CD practices.
Key Responsibilities:
Develop and manage cloud-native infrastructure (e.g., using AWS, Azure, or GCP) for machine learning workflows.
Design and implement end-to-end MLOps pipelines for model training, validation, deployment, and monitoring.
Automate infrastructure provisioning and deployment using IaC tools like Terraform or ARM templates.
Containerize ML applications using Docker and orchestrate with Kubernetes or other orchestration tools.
Set up and manage CI/CD pipelines using tools like GitHub Actions, Azure DevOps, Jenkins, or GitLab CI.
Collaborate ...
We are seeking a skilled Cloud and MLOps Developer to design, implement, and manage cloud infrastructure and MLOps pipelines that support the deployment, monitoring, and automation of machine learning models at scale. You will collaborate with data scientists, ML engineers, and DevOps teams to ensure reliable and secure delivery of AI/ML solutions using modern cloud platforms and CI/CD practices.
Key Responsibilities:
Develop and manage cloud-native infrastructure (e.g., using AWS, Azure, or GCP) for machine learning workflows.
Design and implement end-to-end MLOps pipelines for model training, validation, deployment, and monitoring.
Automate infrastructure provisioning and deployment using IaC tools like Terraform or ARM templates.
Containerize ML applications using Docker and orchestrate with Kubernetes or other orchestration tools.
Set up and manage CI/CD pipelines using tools like GitHub Actions, Azure DevOps, Jenkins, or GitLab CI.
Collaborate ...
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