Senior ML Ops Engineer
Core
Design, maintain, and improve high-performance data pipelines and ML workflows to support enterprise security products serving hundreds of millions of users.
Role type
Senior ML Ops Engineer
Builds
Data pipelines, data platforms, and interfaces for ML engineers/researchers
Domain
Cybersecurity / Enterprise Security / Distributed Data Systems
Deliverable
infrastructure
Required skills
Python, Kafka, SQL, NoSQL (Clickhouse), Kubernetes, CI/CD, Cloud (AWS/Azure), Distributed systems
Preferred skills
Machine learning fundamentals (training/inference), PyTorch, TensorFlow, Cross-functional collaboration
Technologies
Kafka, Kubernetes, AWS, Azure, Clickhouse, PyTorch, TensorFlow
Responsibilities
Maintain and extend data/ML workflows for high-velocity data; Provide on-demand dataset interfaces; Influence data storage/processing strategies; Collaborate with ML, frontend, and backend teams; Reduce time-to-deployment for dashboards and models; Establish best practices for dataset building; Work with large datasets under performance constraints.
Seniority
Senior, hands-on IC
