Stampli
Stampli
201 – 500 कर्मचारी
B2Bफिनटेक
Stampli एक B2B फिनटेक कंपनी है, जो खातों के भुगतान संबंधी प्रक्रियाओं को स्वचालित करने पर केंद्रित है। इसका प्लेटफ़ॉर्म वित्त और खातों के भुगतान से जुड़ी टीमों को एक ही स्थान पर इनवॉइस की पूरी प्रक्रिया प्रबंधित करने में मदद करता है। इसमें केंद्रीकृत संचार, दस्तावेज़ीकरण, अनुमोदन, विक्रेता ऑनबोर्डिंग, भुगतान प्रेषण और खर्च संबंधी वर्कफ़्लो शामिल हैं। Stampli का स्व-शिक्षण AI, Billy the Bot™, इनवॉइस प्रोसेसिंग के दोहराए जाने वाले कार्यों को स्वचालित करता है। प्रमुख ERP प्रणालियों के साथ एकीकरण संगठनों को इस प्लेटफ़ॉर्म को अपनी मौजूदा वित्तीय प्रक्रियाओं के अनुरूप जोड़ने में सहायता करता है। Stampli की टीम ऐसे टूल विकसित करती है, जिन्हें व्यवसायों और इनवॉइस प्रबंधन में शामिल लोगों की परिचालन दक्षता बेहतर बनाने के लिए तैयार किया गया है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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