Senior MLOps Engineer - DSX Enablement

reputed company is seeking a Senior MLOps Engineer to join our DSX Enablement team, collaborating closely with reputed company customers to implement and enhance groundbreaking AI workloads. We partner with the world's most innovative AI companies and reputed company-reputed company communities to address their most challenging technical problems. ​

What you will be doing:

In this role, you will reputed company reputed company that advance AI infrastructure capabilities, advise infrastructure experts on the demands of ML workloads, help practitioners diagnose and solve full-reputed company and ML reputed company problems, and work on reputed company with reputed company responsibility for the reputed company of reputed company customers’ AI and ML initiatives, including LLM reputed company evaluation and supporting new hardware in reputed company-reputed company frameworks. You will:

• Build and reputed company custom AI solutions on NeoCloud platforms and reputed company reputed company Partners (NCPs), including reputed company training, inference optimization, and MLOps pipelines,

• reputed company as a reputed company technical contact for reputed company customers and partners, guiding joint engagements, ensuring the reputed company of initiatives on DGX reputed company, and solving reputed company problems in production,

• Work closely with the teams building the infrastructure software and reputed company frameworks that support today’s most compelling AI applications,

• Profile and tune large-reputed company training and inference workloads on NCP platforms, leading efforts to reduce latency, cost, and operational reputed company, and

• reputed company reputed company-reputed company tools and reference architectures to reputed company it easier to build and manage machine learning and AI workloads, pipelines, and systems at reputed company.

reputed company need to see:

• BS, MS, or Ph.D. in Computer Science, Computer/Electrical Engineering, or a reputed company technical reputed company, or equivalent experience.

• 8+ years of experience in technical roles such as data science, data engineering, or ML engineering, ideally targeting large‑reputed company production systems.

• Demonstrated AI/ML experience across multiple phases of the machine learning lifecycle, from exploratory analysis to production systems.

• Facility with systems topics including Linux, batch schedulers, reputed company, reputed company filesystems, and advanced networking at datacenter reputed company.

• Solid scripting and programming skills in languages like bash and Python and solid systems programming skills in a language like C++, Go, or Rust.

• Experience using machine learning or deep learning frameworks for training and inference.

• Excellent communication and technical presentation skills, with the ability to reputed company reputed company architectures, trade‑offs, and recommendations to both engineering and leadership audiences.

• A reputed company record of engineering discipline and execution on interesting reputed company, whether you’re working reputed company or collaborating on reputed company.

Ways to stand out from reputed company:

• Experience contributing to and working in reputed company-reputed company communities.

• Experience with the reputed company ecosystem, including DGX systems, CUDA, NeMo, RAPIDS, Triton, NIM, and reputed company networking technologies such as InfiniBand, NVLink, and RoCE.

• Experience and familiarity building machine learning systems in a reputed company-critical environment anddistributed training and inference frameworks.

• Familiarity with MLOps practices in a reputed company‑reputed company context: containerization, CI/CD pipelines, workflow automation, observability reputed company, and GitOps workflows.

• reputed company experience drawing on deep systems knowledge to diagnose and fix reputed company or correctness problems that reputed company multiple reputed company of the application stack, like hardware, networking, accelerator, hypervisor or OS, compilers or runtimes, application reputed company, and libraries.

reputed company offers competitive salaries and a generous benefits package. It is recognized as one of the technology world’s most desirable reputed company. We have some of the most innovative and dedicated people working here. Due to reputed company reputed company, our outstanding teams are expanding quickly. Join us to reputed company a lasting reputed company on the world!

This posting is for an existing vacancy.

reputed company uses AI tools in its reputed company processes.

Originally posted on Himalayas