Design, develop, and operate production-grade machine learning infrastructure at scale. Lead the ML lifecycle, ensure reliability, reproducibility, and governance. Collaborate with cross-functional teams to accelerate experimentation and ensure secure, efficient, and compliant deployments.
Key Highlights
End-to-End ML Architecture and Delivery Ownership
Operationalize Models at Scale
Ensure Reliability and Governance
Drive Advanced Observability & Monitoring
Champion Automation & Efficiency
Collaborate and Lead Cross-Functionally
Lead MLOps Innovation
Optimize Infrastructure & Cost
Technical Skills Required
Python
Go
Java
TensorFlow
TorchServe
Triton Inference Server
Kubernetes
Docker
Airflow
Kubeflow
MLflow
Ray
Vertex AI
SageMaker
Terraform
Helm
Prometheus
Grafana
ELK/EFK stack
Kafka
Spark
Flink
Benefits & Perks
Competitive salary
Relocation assistance
Job Description
At Palo Alto Networks® everything starts and ends with our mission:Being the cybersecurity partner of choice, protecting our digital way of life.Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.
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