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Striveworks
Striveworks
51 – 200 Xodimlar
KonsaltingLogistikaSog‘liqni saqlash
Striveworks sun’iy intellektni tezroq, nazorat qilinadigan va hisobdor tarzda amaliyotga joriy etishni istagan tashkilotlar uchun mashinaviy o‘qitish operatsiyalari dasturiy ta’minotini ishlab chiqadi. Uning Chariot platformasi modellarni yaratish va joriy etishdan tortib, ularning samaradorligini kuzatish hamda audit izlarini yuritishgacha bo‘lgan to‘liq model hayotiy siklini qo‘llab-quvvatlaydi. Kompaniya kompyuter ko‘rishi, tabiiy tilni qayta ishlash va generativ sun’iy intellekt yo‘nalishlarida imkoniyatlarga ega bo‘lib, boshqaruvga hamda ma’lumotlarga asoslangan vositalarni faqat mutaxassislar jamoalari emas, balki kengroq foydalanuvchilar guruhi ham ishlata olishini ta’minlashga e’tibor qaratadi. Striveworks sog‘liqni saqlash, logistika, konsalting, jismoniy xavfsizlik, milliy xavfsizlik, kiberxavfsizlik va moliya sohalarida faoliyat yuritadi hamda turli operatsion muhitlarga mos keladigan joriy etish yondashuvlarini taklif qiladi.
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Kompaniyadagi ish o‘rinlari

Senior Machine Learning Engineer - Texas Remote

Build LLM-powered agents, data workflows, and dependable machine learning systems for Striveworks’ AI operations platform. Support mission-critical government deployments through customer-focused engineering and direct collaboration.

USAmerika Qo‘shma ShtatlariTXTexas
160 000 $ – 200 000 $ / yil
MasofaviyTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisi
C++ETLGoJavaPythonPyTorchRustScalaScikit-LearnTensorFlow

Tavsif

  • Create machine learning solutions for customer engagements and internal products
  • Coordinate complex data pipelines and agentic workflows
  • Contribute to the development of Chariot, Striveworks’ proprietary AI operations platform
  • Build dependable AI systems spanning models, agents, tools, and workflows
  • Evaluate and enhance AI system performance and usability
  • Partner with customers, data scientists, software engineers, and DevOps engineers
  • Guide platform enhancements and broaden the company’s technical capabilities
  • Assist mission-critical deployments through direct customer engagement
  • Travel as much as 20% of the time

Talablar

  • Bachelor’s degree in computer science, machine learning, or a related field, plus at least six years of relevant experience
  • Proven delivery of data-focused systems involving data engineering, data cleaning, ETL pipelines, machine learning, and production analytics
  • Hands-on experience designing, developing, evaluating, and optimizing LLM-based agents and agentic workflows
  • Experience connecting AI systems to external tools, APIs, MCP servers, and enterprise data sources
  • Experience creating evaluation methods and frameworks for agent performance, reliability, and safety
  • Working knowledge of RAG, tool use, planning, and multi-agent system architectures
  • Strong command of machine learning languages and libraries, with advanced Python skills and experience with TensorFlow, PyTorch, and/or scikit-learn
  • Solid software engineering foundation in algorithms, data structures, and design patterns
  • Proficiency in at least one systems language, including Go, Rust, C++, Java, or Scala
  • Experience with current software development practices and tools such as Agile, version control, issue tracking, CI/CD, and debugging
  • US citizenship and eligibility and willingness to obtain and maintain a Secret US security clearance

Imtiyozlar

  • Medical, dental, and vision insurance
  • Optional life, long-term disability, accident, and hospital indemnity coverage
  • HSA and FSA plans, including dependent care FSA
  • 401(k) retirement plan
  • Unlimited paid time off
  • Paid parental leave
  • Equity grants
  • Cash bonuses
  • Fully remote work, with hybrid or on-site options available

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ILIsroilGibridTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaDasturiy ta’minot muhandisiFull-stack muhandisi
AWSAzureBulutDockerGoogle Cloud PlatformJavaScriptKafkaKubernetesMikroservislarNode.jsPostgresPythonRabbitMQReactTypeScript

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USAmerika Qo‘shma ShtatlariTXTexas
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MasofaviyTo‘liq stavkaSeniorYetakchiTalab Qilinadigan Til: inglizchaBiznesni rivojlantirish vakili

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