Baseten
Baseten
Baseten उन कंपनियों के लिए मॉडल इन्फरेंस इंफ्रास्ट्रक्चर उपलब्ध कराता है, जो मशीन लर्निंग और एआई एप्लिकेशन तैनात करती हैं। इसका प्लेटफ़ॉर्म तेज़ और बड़े पैमाने पर मॉडल सर्विंग के लिए बनाया गया है, जिसमें उच्च-थ्रूपुट इन्फरेंस, तेज़ परिनियोजन, ऑटोस्केलिंग, सुरक्षित एंटरप्राइज़ मॉडल सर्विंग और ओपन-सोर्स मॉडल पैकेजिंग का समर्थन शामिल है। Baseten इंजीनियरिंग और मशीन लर्निंग टीमों को मॉडल इंफ्रास्ट्रक्चर की परिचालन संबंधी चुनौतियों को संभालने में मदद करता है, ताकि वे डोमेन-विशिष्ट मॉडल विकसित करने पर ध्यान केंद्रित कर सकें। कंपनी कृत्रिम बुद्धिमत्ता, SaaS और एंटरप्राइज़ तकनीक के क्षेत्रों में काम करती है और इसमें 11–50 कर्मचारी हैं।

Solutions Architect – AI/ML Inference, Remote United States

Join Baseten as a Solutions Architect helping customers turn AI/ML requirements into production-ready inference deployments and proofs of concept. Work with Sales and Engineering on discovery, demos, benchmarking, architecture, and technical delivery.

विवरण

  • Collaborate with Sales during customer discovery calls
  • Lead demonstrations and technical scoping around success criteria, architecture, and deployment plans
  • Own benchmarking and repeatable deployments for LLMs, embeddings, image and video generation, and Voice AI
  • Guide customers through GPU and inference configuration choices, including H100 versus B200 selection and latency-versus-throughput optimization
  • Develop repeatable deployment playbooks for common models and use cases
  • Build deep practical expertise in vLLM, SGLang, TRT-LLM, and their typical configurations and tradeoffs
  • Define proofs of concept and coordinate stakeholders on timelines, deliverables, and next steps
  • Manage customer proofs of concept as the technical project lead
  • Engage Forward Deployed Engineering when projects require deeper or more complex technical support

आवश्यकताएँ

  • Background in AI/ML with the credibility to discuss technical topics with customer stakeholders
  • Strong customer-facing communication skills, including structured discovery and the ability to resolve ambiguous requirements
  • Technical expertise sufficient to scope solutions without writing production code
  • Ability to script and prototype when needed, with comfort using rapid coding workflows
  • Experience conducting or supporting benchmarks for machine learning inference deployments
  • Understanding of infrastructure decisions affecting inference performance and cost, including GPU selection and latency-versus-throughput tuning
  • Experience leading customer proofs of concept across Sales and Engineering as a cross-functional technical owner

लाभ

  • Competitive compensation with meaningful equity
  • For U.S. employees and dependents, full medical, dental, and vision insurance coverage
  • Flexible paid time off with a company-wide Winter Break
  • Paid parental leave
  • Fertility and family-building stipend through Carrot
  • For U.S. employees, a company-facilitated 401(k) plan
  • Opportunities to work with diverse ML startups and expand learning and professional networks

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