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Senior MLOps Engineer - DSX Enablement

NVIDIA· Engineer, Sys SW
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Bengaluru, Hyderabad, Punefull-timePosted 1mo ago

About the role

Senior MLOps Engineer to join the DSX Enablement team, collaborating with strategic customers to implement and enhance AI workloads, develop open-source tools, and optimize ML infrastructure and pipelines on NeoCloud and NVIDIA Cloud Partners.

Responsibilities

  • Build and deploy custom AI solutions on NeoCloud platforms and NVIDIA Cloud Partners (NCPs), including distributed training, inference optimization, and MLOps pipelines
  • Act as a primary technical contact for internal and external customers and partners, guiding joint engagements, ensuring the success of initiatives on DGX Cloud, and solving complex problems in production
  • Work closely with teams building infrastructure software and accelerated frameworks that support AI applications
  • Profile and tune large-scale training and inference workloads on NCP platforms, reducing latency, cost, and operational risk
  • Develop open-source tools and reference architectures to simplify building and managing ML/AI workloads, pipelines, and systems at scale

Qualifications

  • BS, MS, or Ph.D. in Computer Science, Computer/Electrical Engineering, or related field, or equivalent experience
  • 8+ years of experience in technical roles such as data science, data engineering, or ML engineering, ideally with large-scale production systems
  • Demonstrated AI/ML experience across multiple phases of the ML lifecycle
  • Facility with Linux, batch schedulers, Kubernetes, distributed filesystems, and advanced networking at datacenter scale
  • Scripting and programming skills in bash and Python; systems programming in C++, Go, or Rust
  • Experience using ML/DL frameworks for training and inference
  • Excellent communication and technical presentation skills to convey architectures and trade-offs to engineering and leadership
  • Clear record of engineering discipline and execution on projects, solo or team-based

Skills

Required:MLOpsLinuxKubernetesPython
Nice to have:C++/Go/Rust

Benefits

  • Competitive salaries
  • Generous benefits package
Last updated Sep 4, 2026. Interested? Apply on the company site.

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