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 Data Scientist, AI and LLMs
Lead the development and production rollout of AI, machine learning, and LLM solutions for Stampli’s financial operations platform. The role includes evaluating models, mentoring data scientists, and working from the Tel Aviv office three days a week.
विवरण
- Find ways to use AI to improve product experiences and operational efficiency.
- Analyze and model financial data to build practical AI products.
- Lead AI solutions from problem definition and research through modeling and implementation.
- Turn complex problems into structured work plans.
- Work with engineering, product, and business stakeholders to integrate AI into products.
- Track developments in AI, machine learning, and LLMs, and apply relevant advances.
- Guide and mentor junior data scientists.
- Deliver near-term work while supporting longer-term innovation.
- Build and deploy AI solutions across Stampli’s SaaS platform.
- Work from the Tel Aviv office Tuesday through Thursday each week.
आवश्यकताएँ
- Bachelor’s degree in computer science, engineering, or a related STEM discipline.
- At least six years of data science experience, ideally at a SaaS or technology company.
- Demonstrated success leading and delivering AI solutions to address important business problems.
- Strong communication and collaboration skills in Hebrew and English.
- Practical experience building and shipping agentic systems based on LLMs.
- Ability to take machine learning and LLM solutions from research into production.
- Skilled in evaluation methods, including labeled evaluation sets, metrics, offline benchmarks, and shadow or A/B comparisons.
- Experience deploying and maintaining production models or services, including FastAPI, asynchronous queue processing, monitoring, and evaluation.
- Ability to investigate production behavior with logs, metrics, and data, identify root causes, and confirm fixes.
- Familiarity with cloud platforms, preferably AWS services such as S3, DynamoDB, SQS, and Bedrock.
- Strong Python engineering skills, including writing testable code and using pytest, async, Pydantic, Git, and code review.
- Experience with embeddings, vector or hybrid search, OpenSearch or Elasticsearch, and retrieval-augmented generation (RAG).
- Experience with OCR, document layout and table understanding, invoices, or financial documents.
- Experience using LangChain or LlamaIndex and MLflow.
- Experience with big data and data warehouses such as Redshift.
लाभ
- AI-focused workplace with tools such as ChatGPT Enterprise.
- Hybrid schedule with flexibility to work remotely on the other days.
- Stock options and an ownership stake.
- Career development supported by experienced leaders focused on innovation.
- Modern and inclusive work environment.
- Fast-paced scale-up culture.
- Workplace recognized with awards.
- Comparably awards have recognized the company for work-life balance, compensation, employee happiness, and benefits.