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IFS
IFS
5 001 – 10 000 Xodimlar
H1B vizasi homiysiIshlab chiqarishLogistikaQurilish
IFS aviatsiya va mudofaa, qurilish va muhandislik, energetika va kommunal xizmatlar, ishlab chiqarish, xizmatlar, resurslar hamda telekommunikatsiya kabi sohalarda faoliyat yurituvchi tashkilotlar uchun korporativ dasturiy ta’minot ishlab chiqadi. Uning mahsulotlar portfeliga korporativ aktivlarni boshqarish, sayyor xizmatlarni boshqarish, korporativ resurslarni rejalashtirish va IFS.ai imkoniyatlari kiradi. Kompaniya IFS Cloud orqali ushbu vositalarni birlashtirib, korxonalarga aktivlarning hayotiy sikllarini boshqarish, xizmat ko‘rsatish operatsiyalarini muvofiqlashtirish, mijozlar bilan aloqani yo‘lga qo‘yish va operatsion ma’lumotlardan yanada asosli qarorlar qabul qilishni qo‘llab-quvvatlash uchun foydalanishga yordam beradi.
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Kompaniyadagi ish o‘rinlari

Forward Deployed AI Engineer at IFS (UK Remote)

Deploy and prototype AI-powered decision analytics for utilities, energy, water, and transportation customers. Connect enterprise data and workflows to measurable business outcomes.

GBBuyuk Britaniya
75 000 £ – 110 000 £ / yil
MasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMuhandis
AngularERPOracleOracle ERPPythonSQL

Tavsif

  • Collaborate across Sales, Product, R&D, and Implementation to deliver customer solutions
  • Support Solutions Consultants and Account Executives on strategic accounts and new-business opportunities
  • Lead discovery, technical scoping, architecture, implementation, evaluation, productionization, adoption, and handoff for strategic solutions
  • Deploy the existing product against customer data to demonstrate value during sales engagements
  • Rapidly prototype near-production solutions when existing product capabilities fall short
  • Build, deploy, and assess solutions using customer data
  • Track adoption, workflow effects, reliability, and time to value
  • Design production systems for security, reliability, observability, maintainability, and architectural integration
  • Work with Product and R&D to turn validated customer patterns and production evidence into roadmap initiatives, reusable components, and platform improvements
  • Create reusable accelerators based on recurring customer requirements
  • Create and continuously refine solution specifications with customers
  • Assess business potential, market demand, competitive differentiation, and functional and technical specifications with Product
  • Help influence deal ACV and shorten the path to a working prototype
  • Monitor prototype progression into production and the reuse of shipped patterns and accelerators

Talablar

  • Combine customer-facing communication skills with commercial awareness
  • Lead technical discovery and discuss value with technical and business stakeholders
  • Relate engineering decisions to customer outcomes and deal value
  • Turn individual customer solutions into reusable accelerators
  • Develop LLM applications using RAG, prompt and context engineering, and agent orchestration
  • Choose appropriately between single-agent and multi-agent designs, including memory and state management
  • Use modern AI coding tools such as Claude Code
  • Understand enterprise integrations in regulated utility environments
  • Know systems such as ESRI ArcGIS/Smallworld, IBM Maximo/EAM, SAP/Oracle ERP/PPM, and PowerBI or comparable reporting platforms
  • Understand REST and streaming APIs, authentication approaches, and enterprise systems of record
  • Bring domain experience in asset-intensive industries or capital and asset investment planning as a strong advantage
  • Be prepared to travel to customer locations as needed, up to approximately 50%
  • Have a software or data engineering background
  • Have experience building and delivering maintainable production software
  • Be fluent in Angular, Python, or a comparable language
  • Understand SQL, data modeling, and data ingestion, transformation, and serving pipelines
  • Debug effectively with incomplete or inconsistent customer data in live environments
  • Bring production engineering experience in observability, performance, and operation at scale
  • Have prior customer-facing technical, solutions engineering, forward deployment, technical consulting, or startup experience as a preferred qualification
  • Have prior experience deploying AI in enterprise or regulated settings as a preferred qualification

Imtiyozlar

  • Flexible paid time off covering sick leave and holidays
  • Medical, dental, and vision insurance
  • Flexible spending accounts
  • Life and disability insurance
  • Tuition assistance
  • Community participation and volunteer events
  • Bonus

O‘xshash ish o‘rinlari

Deutsche Windtechnik

Site Coordinator, Wind Energy Operations

Deutsche Windtechnik
1 001 – 5 000 Xodimlar
Malakali ishchi vizasi homiysiIshlab chiqarishKonsaltingLogistika
TWTayvanOfisdaTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaTalab Qilinadigan Til: xitoyUmumiy

Coordinate project documents and maintenance reporting for Deutsche Windtechnik’s wind energy operations in Taiwan. Work with engineers, clients, and other stakeholders to manage permits, safety records, and document control.

Ochish
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