Stampli
Stampli
201 – 500 Darbinieki
B2BFintech
Stampli ir B2B finanšu tehnoloģiju uzņēmums, kas koncentrējas uz kreditoru parādu automatizāciju. Tā platforma palīdz finanšu un kreditoru parādu komandām vienuviet pārvaldīt visu rēķinu aprites ciklu, apvienojot centralizētu saziņu, dokumentāciju, apstiprināšanu, piegādātāju ieviešanu, maksājumu informācijas pārvaldību un izdevumu pārvaldības procesus. Stampli pašmācošais mākslīgais intelekts Billy the Bot™ automatizē atkārtotus rēķinu apstrādes darbus, savukārt integrācija ar lielākajām ERP sistēmām palīdz organizācijām pielāgot platformu esošajiem finanšu procesiem. Stampli komanda izstrādā rīkus, kuru mērķis ir uzlabot uzņēmumu un rēķinu pārvaldībā iesaistīto cilvēku darbības efektivitāti.

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.

Apraksts

  • 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

Prasības

  • 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

Priekšrocības

  • 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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