Stampli
Stampli
201 – 500 Қызметкерлер
B2BФинтех
Stampli — кредиторлық берешекті басқаруды автоматтандыруға бағытталған B2B финтех компаниясы. Оның платформасы қаржы және кредиторлық берешек бөлімдеріне шот-фактуралардың бүкіл өмірлік циклін бір жерде басқаруға көмектеседі: орталықтандырылған коммуникацияны, құжаттаманы, мақұлдауларды, жеткізушілерді тіркеуді, төлем туралы хабарламаларды және шығындарды басқару жұмыс процестерін біріктіреді. Stampli компаниясының өздігінен үйренетін жасанды интеллекті Billy the Bot™ қайталанатын шот-фактураларды өңдеу жұмыстарын автоматтандырады, ал ірі ERP жүйелерімен интеграциялар ұйымдарға платформаны қолданыстағы қаржы процестерімен үйлестіруге мүмкіндік береді. Stampli командасы компаниялар мен шот-фактураларды басқаруға қатысатын адамдардың операциялық тиімділігін арттыруға арналған құралдар әзірлейді.

Senior Machine Learning Engineer at Stampli — Hybrid in Israel

Build scalable machine learning and LLM systems for Stampli’s AI-powered procure-to-pay SaaS platform. Develop intelligent product capabilities and automate internal operations.

Сипаттама

  • Create machine learning and LLM solutions for customer-facing products and internal processes
  • Lead initiatives from initial concept to production, covering training, evaluation, integration, and monitoring
  • Apply established machine learning and LLM frameworks to develop advanced capabilities
  • Collaborate with product, engineering, and business stakeholders to integrate AI into product features and backend systems
  • Develop and support scalable APIs and services
  • Follow sound practices for CI/CD, observability, and cloud infrastructure
  • Communicate progress, risks, and outcomes to technical and executive audiences

Талаптар

  • At least six years of experience in backend development, data engineering, or machine learning engineering
  • Advanced Python programming skills
  • Deep experience architecting scalable, resilient, fault-tolerant, and secure backend systems
  • Strong background in distributed systems, microservices, asynchronous processing, and event-driven architecture
  • Demonstrated experience designing and running high-throughput production APIs
  • Experience facilitating technical design reviews and evaluating architectural tradeoffs
  • Hands-on experience with LangChain, Hugging Face, TensorFlow, and PyTorch
  • Experience developing and scaling applications powered by large language models
  • Working knowledge of AWS and DevOps practices such as CI/CD, monitoring, and infrastructure as code
  • Exposure to NoSQL technologies and real-time data processing pipelines
  • Strong problem-solving, ownership, teamwork, and communication skills

Артықшылықтар

  • Hybrid working arrangement with part of the week remote
  • Stock options that provide genuine ownership
  • Career development supported by experienced leaders focused on innovation
  • Contemporary, inclusive workplace within a fast-paced scale-up environment
  • Access to ChatGPT Enterprise and advanced AI tools
  • Recognized workplace culture supporting work-life balance, compensation, employee happiness, and benefits

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