MLOps Engineer / DevOps Engineer
Core
Building and maintaining cloud infrastructure, deployment pipelines, and automation frameworks to support AI, machine learning, and Generative AI applications at scale.
Role type
MLOps / DevOps Engineer
Builds
Scalable AWS cloud infrastructure, MLOps platforms, CI/CD pipelines, and operational foundations for AI/ML products.
Domain
Cloud infrastructure, MLOps, Generative AI, AWS
Deliverable
production ML models | infrastructure
Required skills
AWS cloud services, Terraform (IaC), Docker, Kubernetes, CI/CD pipeline design, Python/Bash scripting, ML model deployment and monitoring, observability tooling, troubleshooting complex systems
Preferred skills
Vector databases, RAG, model serving, IoT/embedded systems experience, fast-paced startup environment
Technologies
AWS, Terraform, Docker, Kubernetes, Python, Bash, AWS Bedrock, LLMs
Responsibilities
Design and maintain scalable AWS infrastructure for AI/ML; Create MLOps infrastructure for training, deployment, and lifecycle management; Build IaC using Terraform; Implement monitoring, logging, and alerting systems; Develop and maintain CI/CD pipelines; Optimize cloud environments for scalability and cost; Troubleshoot infrastructure and application issues; Document architecture and processes.
Seniority
Mid-Senior, hands-on IC
