
51 - 200 Mitarbeiter
Gegründet 2021
💼 Beratung
🏥 Gesundheitswesen
⚖️ Rechtswesen
Consulting • Healthcare • Legal
Oscilar ist eine Risikomanagement-Plattform, die sich auf Betrugsabwehr, Kreditvergabe, Onboarding-Risiken und AML-Compliance für Finanzinstitute konzentriert. Durch seine fortschrittliche AI Risk Decisioning™ ermöglicht Oscilar Organisationen, schnellere und intelligentere Risikoentscheidungen zu treffen, Kundenreisen zu überwachen und nahtlos die Einhaltung gesetzlicher Vorschriften sicherzustellen. Die Plattform von Oscilar bietet umfassende Analysen und proaktive Erkennungsfunktionen, die auf die einzigartigen Risikobedürfnisse von Banken, Fintechs und Kreditgenossenschaften zugeschnitten sind.
🕒 vor 4 Tagen
🇺🇸 Vereinigte Staaten – Remote
💵 $197.500 - $297.500 / Jahr
⏰ Vollzeit
🔴 Experte
🧑💻 Full-Stack-Entwickler
🦅 H1B-Visum-Sponsor
🗣️🇺🇸🇬🇧 Englisch erforderlich
Verbessern Sie Ihre Chancen auf ein Vorstellungsgespräch, indem Sie Ihre Lebenslauf-Bewertung vor der Bewerbung überprüfen.

51 - 200 Mitarbeiter
Gegründet 2021
💼 Beratung
🏥 Gesundheitswesen
⚖️ Rechtswesen
Consulting • Healthcare • Legal
Oscilar ist eine Risikomanagement-Plattform, die sich auf Betrugsabwehr, Kreditvergabe, Onboarding-Risiken und AML-Compliance für Finanzinstitute konzentriert. Durch seine fortschrittliche AI Risk Decisioning™ ermöglicht Oscilar Organisationen, schnellere und intelligentere Risikoentscheidungen zu treffen, Kundenreisen zu überwachen und nahtlos die Einhaltung gesetzlicher Vorschriften sicherzustellen. Die Plattform von Oscilar bietet umfassende Analysen und proaktive Erkennungsfunktionen, die auf die einzigartigen Risikobedürfnisse von Banken, Fintechs und Kreditgenossenschaften zugeschnitten sind.
• Design and implement scalable backend services that leverage generative AI models to deliver high-performance, low-latency solutions. • Collaborate with product, frontend, and QA teams to define technical requirements and ensure seamless integration of AI models with other platform components. • Optimize AI models and backend services for maximum performance, scalability, and maintainability in a distributed environment. • Identify and resolve bottlenecks related to AI processing and system performance, ensuring efficient resource utilization and system stability. • Implement best practices for deploying, monitoring, and maintaining AI models in production, including CI/CD pipelines and model versioning. • Proactively monitor the health and performance of AI-driven backend services, applying strategies to mitigate potential issues and ensure high availability.
• Bachelor’s or master’s degree in computer science, Software Engineering, or a related field. • 7+ years of backend software development experience, with 3+ years focusing on AI/ML, including hands-on experience with generative AI models (e.g., GPT, LLMs). • Strong expertise in Python or Java and AWS technologies, with deep knowledge of building and operating low-latency, high-scale services in distributed environments. • Proven experience deploying and optimizing AI/ML models in production environments using containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP). • Familiarity with microservices architecture, RESTful APIs, and security best practices in AI services. • Experience with distributed data systems such as Kafka, ClickHouse, or similar technologies to manage large-scale AI workloads. • Strong understanding of CI/CD tools (e.g., Jenkins, Git, Maven, Gradle) and agile development methodologies, with a focus on automating model deployment. • Excellent problem-solving abilities, with a focus on AI model performance optimization, scalability, and system architecture.
• Compensation: Competitive salary and equity packages, including a 401k • Flexibility: Remote-first culture — work from anywhere • Health: 100% Employer covered comprehensive health, dental, and vision insurance with a top tier plan for you and your dependents (US) • Balance: Unlimited PTO policy • Technical: AI First company; both Co-Founders are engineers at heart; and over 50% of the company is Engineering and Product • Culture: Family-Friendly environment; Regular team events and offsites • Development: Unparalleled learning and professional development opportunities • Impact: Making the internet safer by protecting online transactions
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