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Nebius Group
Nebius Group
1001 – 5000 Darbinieki
Mākslīgais intelektsSaaSUzņēmums
Nebius Group izstrādā mākslīgā intelekta infrastruktūru organizācijām, kas veido un izmanto prasīgas mākslīgā intelekta darba slodzes. Uzņēmuma galvenais piedāvājums ir mākslīgajam intelektam paredzēta mākoņplatforma, kas apvieno skaitļošanas jaudu, datu glabātuvi un izstrādātāju rīkus. Plašākajā produktu klāstā ietilpst arī ģeneratīvais mākslīgais intelekts, izglītības tehnoloģijas un autonomās tehnoloģijas. Uzņēmuma galvenā mītne atrodas Eiropā, un tas ir kotēts Nasdaq biržā. Uzņēmums darbojas starptautiski, un tam ir pētniecības un izstrādes centri Eiropā, Ziemeļamerikā un Izraēlā, radot iespējas komandām, kas strādā mākoņdatošanas, uzņēmumu programmatūras un mākslīgā intelekta inženierijas jomā.
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Vakances uzņēmumā

Senior Customer AI Engineer

Guide customers from proof of concept to production on Nebius’s AI cloud platform, helping them deploy AI workloads reliably and at scale. Improve performance, reliability, and cost efficiency while accelerating time to production and customer value.

USAmerikas Savienotās Valstis
209 800 $ – 262 200 $ / gads
AttālinātiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuMākslīgā intelekta inženierisMašīnmācīšanās inženieris
MākonisSadalītās sistēmas

Apraksts

  • Guide customers from proof of concept through production deployment.
  • Ensure customer workloads are stable, scalable, performant, reliable, and cost-efficient.
  • Accelerate time to production and customer value.
  • Assess customer architectures and use cases.
  • Track and improve latency, throughput, cost efficiency, and reliability.
  • Find and resolve performance bottlenecks proactively.
  • Work directly with customer engineering teams.
  • Advise customers on effective practices and optimization.
  • Turn technical challenges into practical solutions.
  • Serve as the primary technical contact for production issues.
  • Coordinate incident resolution with internal teams.
  • Communicate clearly under pressure.
  • Find opportunities to optimize and expand customer usage.
  • Share structured feedback with Product and Infrastructure teams.
  • Help develop better solutions based on customer needs.
  • Partner with Solution Architects and Product and Infrastructure teams to deliver stable, high-performing, cost-efficient deployments.

Prasības

  • Practical knowledge of inference frameworks such as vLLM, TensorRT, or equivalents.
  • Solid understanding of cloud or infrastructure systems.
  • Solid understanding of distributed systems or high-load applications.
  • Knowledge of AI and machine learning workloads, including LLMs and inference, is a strong plus.
  • Ability to troubleshoot and analyze system performance.
  • Experience working directly with technical customers, including engineers and machine learning teams.
  • Ability to explain complex topics clearly and effectively.
  • Strong ownership and focus on outcomes.
  • Ability to manage multiple customers and competing priorities.
  • Structured, proactive, solution-oriented approach.
  • Experience with GPU workloads or AI infrastructure is a plus.
  • Background in solutions engineering, site reliability engineering, or technical support in B2B environments is a plus.
  • Must be authorized to work in the country of application and provide proof of employment eligibility.

Priekšrocības

  • Company-paid medical, dental, and vision coverage for employees and families.
  • 401(k) plan with up to a 4% company match and immediate vesting.
  • 20 weeks of paid parental leave for primary caregivers.
  • 12 weeks of paid parental leave for secondary caregivers.
  • Remote-work reimbursement of up to $85 per month for mobile and internet costs.
  • Company-paid short-term disability, long-term disability, and life insurance.
  • Competitive compensation.
  • Career development and learning opportunities.
  • Flexibility and ownership.
  • Collaborative, innovative culture.
  • Opportunity to work on impactful AI projects.
  • International environment with talented teams.

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