You will be the architectural visionary driving the design, scalability, and security of our enterprise machine learning infrastructure
Job Summary
You will be the architectural visionary driving the design, scalability, and security of our enterprise machine learning infrastructure.
Establish and optimize automated CI/CD/CT pipelines for machine learning models, ensuring seamless transitions from research to production.
Partner closely with Data Scientists, Data Engineers, Software Engineers, and Product Managers to bridge the gap between model development and software engineering.
Matching Summary
You will be the architectural visionary driving the design, scalability, and security of our enterprise machine learning infrastructure.
Skills & Requirements
Must-have
ML infrastructure and platforms
CI/CD/CT pipelines for ML
Kubernetes and Docker
Python, C++, Java
AWS SageMaker and Bedrock
MLFlow
Terraform, Pulumi, Ansible
Nice-to-have
Customer problem solving
Accelerating change
Turning knowledge into action
Inclusive culture
Trusting relationships
Key Requirements
Extensive experience in MLOps, ML infrastructure, or deploying ML models at scale
Deep, hands-on expertise with AWS
Advanced proficiency with Kubernetes, Docker
Strong software development skills in Python
Mastery of automation tools
Strong understanding of ML frameworks
Demonstrated ability to lead complex technical initiatives