Senior Machine Learning (MLOps) Engineer- Worldwide Product Marketing
Core
Build, deploy, and optimize scalable AI/ML applications and infrastructure, bridging data science and engineering to ensure reliable production systems.
Role type
Senior IC MLOps Engineer
Builds
Production-grade ML systems, automated training/deployment pipelines, and MLOps tooling
Domain
Cloud infrastructure, distributed systems, and machine learning operations
Deliverable
production ML models
Required skills
Python, Kubernetes, CI/CD pipelines, data pipeline orchestration, cloud platforms (AWS/Azure/GCP), distributed systems design, MLOps tooling (Ray/MLflow/Kubeflow/SageMaker/Vertex AI), ML frameworks (TensorFlow/PyTorch/scikit-learn), SQL/NoSQL databases
Preferred skills
Model monitoring and drift detection, LLM-based tool integration and validation, cross-functional collaboration
Technologies
Kubernetes, Ray, MLflow, Kubeflow, SageMaker, Vertex AI, Jenkins, GitHub Actions, ArgoCD, Airflow, Prefect, TensorFlow, PyTorch, scikit-learn, AWS, Azure, GCP
