Senior ML Ops Engineer

Senior ML Ops Engineer responsible for shaping and expanding data pipelines to power enterprise security products using AI/ML. Work with distributed teams to design, maintain, and improve high-performance data pipelines. Develop and implement new pipelines to handle high-velocity data and collaborate with ML, frontend, and backend teams to build out data platform.

Requirements

• Design and build data stores
• Feature engineering
• Building reliable data pipelines
• Proficiency in Python
• Experience with Kafka infrastructure and distributed data systems
• Deep understanding of SQL and NoSQL databases
• Familiarity with public cloud providers
• Experience with CI/CD and orchestration platforms
• Proven ability to make independent decisions regarding data processing strategy and architecture

Benefits

• Flexible working hours
• Pleasant, modern development and deployment workflows
• High impact
• Flat organization