Description

Own the design, implementation, and maintenance of scalable AWS cloud infrastructure and MLOps workflows for model lifecycle management.

This role is on-site.

Responsibilities

• Build and manage CI/CD pipelines using GitLab CI/CD, including migrating existing repositories and platforms to GitLab.
• Containerize applications with Docker and orchestrate deployments through Kubernetes.
• Implement MLOps workflows, leveraging AWS SageMaker for model training and deployment pipelines.
• Automate infrastructure provisioning and operational tasks to ensure reliability, security, and performance.
• Collaborate with development, data science, and platform teams to streamline release processes and support edge deployments via AWS IoT Core and Greengrass.

Required Skills

• 5–8 years of experience in DevOps, Cloud Engineering, or MLOps.
• Strong hands-on expertise in AWS Cloud Services, including SageMaker, IoT Core, and Greengrass.
• Proficiency with Docker, Kubernetes, and GitLab CI/CD.
• Experience building and managing deployment pipelines and CodeCommit migration.
• Understanding of MLOps practices and model deployment strategies.
• Knowledge of release management, monitoring, and production support processes.

Preferred Skills

• Experience supporting edge computing deployments.
• Exposure to Infrastructure as Code (Terraform/CloudFormation).
• AWS certifications.

Key Skills

Education

Bachelor's degree