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ICF
ICF
5 001 – 10 000 Xodimlar
HukumatKonsaltingSog‘liqni saqlash
ICF hukumatlar, bizneslar va hamjamiyatlarga ma’lumotlar, texnologiyalar hamda dasturlar bo‘yicha tajriba orqali murakkab muammolarni hal qilishda yordam beradigan global konsalting kompaniyasidir. 1969-yilda tashkil etilgan kompaniya konsalting, davlat sektori va sog‘liqni saqlash yo‘nalishlarida faoliyat yuritib, raqamli modernizatsiya, tahlil, barqarorlik va moslashuv, energetikani rejalashtirish, federal sog‘liqni saqlash dasturlari, ofatlarni boshqarish, infratuzilma va transport sohalarini qo‘llab-quvvatlaydi. Uning jamoalari maslahat xizmatlarini dasturlarni amalga oshirish bilan birlashtirib, mijozlarga o‘lchanadigan natijalarga erishish va hamjamiyatlar barqarorligini mustahkamlashda ko‘maklashadi.
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Kompaniyadagi ish o‘rinlari

Applied AI Engineer, Global Health — Remote

Build LLM pipelines, AI agents, and evaluation systems for ICF’s global health and survey programs. Create tools for reporting, analysis, translation, and field operations.

USAmerika Qo‘shma ShtatlariMDMerilend
98 614 $ – 167 644 $ / yil
MasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisiSun’iy intellekt muhandisi
AWSAzureBulutGoJavaScriptPythonTypeScript

Tavsif

  • Create LLM pipelines and agents that support survey workflows
  • Develop AI-assisted processes that turn data into reports
  • Build natural-language tools for analyzing survey data
  • Create multilingual tools for translating questionnaires
  • Develop field-support applications for interviewers and supervisors
  • Create evaluation harnesses and establish acceptance criteria with technical and survey specialists
  • Assemble expert-grounded test sets and perform non-inferiority comparisons
  • Select models according to reasoning demands, workload, cost, latency, and data-residency constraints
  • Control inference spending through token monitoring, context management, prompt caching, and batch execution
  • Integrate models with data services and full-stack applications
  • Use agentic coding tools to build, review, test, and maintain production software
  • Observe live systems and perform structured error analysis
  • Communicate both successful and unsuccessful results
  • Record methods and findings for public dissemination
  • Support the transfer of tools to institutions in partner countries

Talablar

  • Bachelor’s degree in computer science, engineering, or a related discipline, or equivalent professional experience
  • At least four years of professional software development experience, including production LLM systems used by real users
  • U.S. citizenship, as required for the federal government contract
  • Proficiency in Python or a comparable modern language such as JavaScript, TypeScript, or Go
  • Practical experience with frontier-model APIs, including tool use and retrieval-augmented generation
  • Experience designing LLM evaluations through test-set creation, automated and human grading, regression testing, and release decisions
  • Understanding of the cost, latency, and model-selection trade-offs involved in LLM systems
  • Experience deploying applications on a major cloud platform such as AWS, Azure, or Google Cloud
  • Experience with agentic coding tools including Claude Code, OpenAI Codex, Cursor, Antigravity, or GitHub Copilot agent mode
  • Experience with agent frameworks and AI evaluation tools

Imtiyozlar

  • Work remotely from within the United States
  • Occasional travel may be required
  • Reasonable accommodations are available for disabilities, veterans, and sincerely held religious beliefs
  • Equal opportunity employment
  • Confidential accommodation assistance is available throughout the application and employment process

O‘xshash ish o‘rinlari

Ambush

Senior Machine Learning and AI Engineer

Ambush
51 – 200 Xodimlar
Malakali ishchi vizasi homiysiKonsaltingLogistikaSog‘liqni saqlash
BRBraziliyaMasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisiSun’iy intellekt muhandisi
AWSAzureBulutDockerGoogle Cloud PlatformKubernetesPythonReactSQLTerraform

Build production-grade generative AI and agent workflows for Ambush’s financial services clients. Develop Python and FastAPI services, SQL data workflows, retrieval-augmented generation, and cloud-based AI systems.

Ochish
GFN

Senior Software Engineer, Machine Learning

GFN
201 – 500 Xodimlar
Elektron tijoratFintexSaaS
DEGermaniyaMasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: nemischaTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisi
AWSAzureDjangoDockerKubernetesPythonRubyRuby on RailsTerraform

Build backend infrastructure and AI-enabled learning products for GFN, a German education provider. Develop scalable educational platforms with a focus on robust software architecture and practical machine learning.

Ochish