Stampli
Stampli
201 – 500 Angajați
B2BFintech
Stampli este o companie fintech B2B axată pe automatizarea conturilor de plătit. Platforma sa ajută echipele financiare și pe cele responsabile de conturile de plătit să gestioneze ciclul de viață al facturilor într-un singur loc, reunind comunicarea centralizată, documentația, aprobările, înregistrarea furnizorilor, plățile și fluxurile de lucru pentru cheltuieli. Billy the Bot™, inteligența artificială cu capacitate de autoînvățare a Stampli, automatizează activitățile repetitive de procesare a facturilor, în timp ce integrările cu principalele sisteme ERP ajută organizațiile să alinieze platforma la procesele lor financiare existente. Echipa Stampli dezvoltă instrumente concepute pentru a îmbunătăți eficiența operațională a companiilor și a persoanelor implicate în gestionarea facturilor.

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.

Descriere

  • 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

Cerințe

  • 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

Beneficii

  • 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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