Senior MLOps Engineer
Job Summary
To support groundbreaking AI workloads, the full-time Senior MLOps Engineer will develop innovative solutions, collaborate with strategic customers, and enhance AI infrastructure capabilities while working remotely or onsite in various locations.
Key responsibilities
- Build and deploy custom AI solutions on NeoCloud platforms and NVIDIA Cloud Partners, including MLOps pipelines and inference optimization
- Act as the primary technical contact for customers and partners, ensuring the success of AI initiatives and solving complex production problems
- Profile and tune large-scale training and inference workloads, leading efforts to optimize performance, cost, and operational risk
Required qualifications
- BS, MS, or Ph.D. in Computer Science, Computer/Electrical Engineering, or a related technical field, or equivalent experience
- 8+ years of experience in technical roles such as data science, data engineering, or ML engineering focused on large-scale production systems
- Demonstrated AI/ML experience across multiple phases of the machine learning lifecycle
- Proficiency with systems topics including Linux, Kubernetes, and advanced networking at datacenter scale
- Solid programming skills in languages like Python and C++, Go, or Rust
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