MLOps Engineer

Summary

Join Cyberhaven and be at the forefront of revolutionizing data protection through cutting-edge AI technology. As an experienced ML Ops engineer, you will help drive and evolve our product, focusing on high-impact innovation projects as part of our Linea AI team.

Requirements

• Love innovation and have an entrepreneurial mindset, eager to solve challenging real-world problems with breakthrough technology
• Have a strong track record in building full-stack applications that are actively used at scale
• Have experience developing large applications in Go / Python
• Have experience developing and deploying Machine Learning Operations at scale
• Have hands-on experience with microservices, Kubernetes (both development and DevOps), and observability technologies like Prometheus
• Have 2+ years of experience with ML Ops technologies
• Have 5+ years of experience with DevOps or Backend development
• Have production experience working with large-scale foundational models and transformer-based architecture (GenAI)

Responsibilities

• Work in fast-paced environments on new features that use AI at its core
• Work with a large-scale, highly scalable, and fault-tolerant system that handles large graph datasets at enterprise scale in real-time
• Deliver in-house LLM models to production

Benefits

• Competitive start up salary and generous stock options
• Flexible time off
• Potential fast-tracked career advancement opportunities