MLOps Engineer (AWS)
Core
Building, developing, and maintaining MLOps solutions in the AWS Cloud environment to support Machine Learning model deployment, training, and monitoring.
Role type
MLOps Engineer (AWS)
Builds
ML infrastructure and CI/CD pipelines for Machine Learning models
Domain
Media & Entertainment / Cloud Infrastructure / Machine Learning
Deliverable
infrastructure
Required skills
MLOps, AWS Cloud, Docker, Kubernetes, Terraform, CI/CD, Python, SQL, ML model lifecycle management
Preferred skills
None stated
Technologies
AWS, Docker, Kubernetes, Terraform, GitHub Actions, Jenkins
Responsibilities
Building and maintaining MLOps solutions in AWS; Automating ML deployment, training, and monitoring; Creating and managing ML infrastructure via Infrastructure as Code; Ensuring security, scalability, and availability of ML solutions; Collaborating with AI and Cloud teams; Identifying new tools to support business goals
Seniority
Mid-level (minimum 3 years experience)
