Designworks Talent LLC
Designworks Talent LLC
Designworks Talent LLC तेज़ी से बढ़ने वाले स्टार्टअप्स और वैश्विक उद्यमों को भर्ती और प्रतिभा परामर्श सेवाएँ देने वाली एक फर्म है। 2009 में स्थापित, यह कंपनी तेज़ और अधिक लक्षित भर्ती में सहायता के लिए अनुभवी भर्ती विशेषज्ञों को AI-सक्षम टूल्स के साथ जोड़ती है। इसके कार्यक्षेत्र में पूर्ण-सेवा प्रतिभा खोज, परियोजना-आधारित भर्ती और आवश्यकता के अनुसार लचीले मॉडल शामिल हैं। इसके साथ ही, कंपनी विस्तार योग्य भर्ती रणनीति, भर्ती संचालन, उद्यम प्रतिभा अधिग्रहण नेतृत्व, डेटा-आधारित प्रतिभा खोज और उम्मीदवार अनुभव पर भी कार्य करती है। इसका दृष्टिकोण संगठनों को उनकी भर्ती आवश्यकताओं के बदलने के साथ अनुकूलनीय सहायता प्रदान करने के लिए तैयार किया गया है।

Senior AI Training Infrastructure Engineer

Lead distributed GPU training infrastructure for large-scale AI models on a next-generation cloud platform. Improve reliability, efficiency, fault tolerance, and production readiness across training systems.

विवरण

  • Build and expand distributed training infrastructure for large AI models across extensive GPU clusters
  • Create and refine systems that improve training reliability, efficiency, and resource utilization
  • Develop fault-tolerant solutions for checkpointing, recovery, and large-scale training operations
  • Integrate AI models into production training pipelines alongside platform, orchestration, and performance engineering teams
  • Investigate and resolve problems affecting training throughput, stability, reliability, and cost efficiency
  • Develop tools and automation that enhance the experience of AI researchers and engineers
  • Define best practices for training infrastructure, operational workflows, and platform reliability
  • Help shape the AI infrastructure platform as an early member of the engineering team
  • Partner with infrastructure, orchestration, performance, and machine learning teams

आवश्यकताएँ

  • Hands-on experience building and operating distributed training systems or large-scale machine learning infrastructure
  • Experience supporting large AI models, foundation models, post-training workflows, or comparable machine learning systems
  • Strong understanding of the reliability, scalability, and efficiency challenges of multi-node GPU training
  • Experience connecting training systems to production machine learning pipelines
  • Strong programming ability and experience working with complex distributed systems
  • Ability to take independent ownership of technically demanding projects
  • Comfort working with substantial ownership and limited process overhead
  • Preferred: Experience with PyTorch Distributed, DeepSpeed, Megatron-LM, Ray, or similar technologies
  • Preferred: Experience with supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), or other post-training workflows
  • Preferred: Experience operating AI training infrastructure at scale for a hyperscaler, AI research organization, cloud provider, or GPU cloud environment
  • Preferred: Experience optimizing GPU utilization, training performance, or distributed-system reliability
  • Preferred: Familiarity with Kubernetes, containerized AI workloads, and large-scale infrastructure platforms
  • U.S. work authorization is required
  • Visa sponsorship is not currently available

लाभ

  • Some roles are eligible for merit-based increases
  • Some roles include annual bonus eligibility
  • Some roles offer long-term incentives
  • Medical insurance is available to U.S.-based employees
  • Dental insurance is available to U.S.-based employees
  • Vision insurance is available to U.S.-based employees
  • 401(k) plan
  • Company 401(k) matching
  • Paid holidays each calendar year

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