Senior Machine Learning Operations Engineer (MLOps)
Core
Design, implement, and maintain end-to-end ML infrastructure and automation solutions for large-scale machine learning workloads.
Role type
Senior MLOps Engineer
Builds
Robust, scalable AWS cloud infrastructure and automation solutions for data science teams
Domain
Cloud infrastructure and Machine Learning Operations
Deliverable
infrastructure
Required skills
Terraform, AWS/Azure/GCP, CI/CD pipelines for ML, Docker, Kubernetes, Python for automation
Preferred skills
iGaming experience, petabyte-scale data handling, distributed computing (Spark, Hadoop), observability platforms, data security and governance
Technologies
Terraform, AWS, Azure, GCP, Docker, Kubernetes, Python, Spark, Hadoop
Responsibilities
Lead design and maintenance of end-to-end ML infrastructure; Drive cloud architectural decisions; Implement and maintain CI/CD pipelines; Build and optimize monitoring, alerting, and logging; Provide mentorship to junior engineers
Seniority
Senior, hands-on IC
