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About Tekion: Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the…
Builds and maintains backend integrations between an AI learning platform and LMS platforms like Canvas, Brightspace, Moodle, and Blackboard using Node.js/TypeScript, LTI, and APIs.
Builds and maintains scalable data pipelines for casino systems, transforming raw transactional data into optimized datasets for analytics and downstream applications using Python, Node.js, SQL, and ETL tools.
Senior Solutions Engineer at Neo4j demonstrates and architects graph database solutions for customers, bridging technical needs with business outcomes using Neo4j’s platform and AI integrations.
Overview Are you passionate about building complex things using a large number of simple components efficiently, safely, consistently and at scale? Come join a team that values diversity, inclusion, collaboration and…
Develops Python-based web solutions and VBA scripts for Microsoft Access, migrates legacy Access systems to SQL Server, performs ETL on complex datasets, and creates Power BI visualizations. Focuses on full-stack development, database optimization, and secure coding practices.
You’ll be the public face of Dapr and Diagrid, growing the open-source community, creating demos and content, and explaining distributed systems and AI agents to developers.
BURNT Member of Technical Staff AI/ML Engineer (MLOps-Focused) Location On-site, San Francisco · Experience 5–7 years · Compensation $150,000–$275,000 + equity About Burnt Burnt isn't building software on top of…
About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for…
Builds and owns full-stack features across a layered platform, including React frontends, GraphQL APIs, AI-driven intelligence, and data services, with end-to-end ownership from concept to production.
Full Stack Developer focused on evolving a software platform, designing data pipelines (ETL, PL/SQL), and building features with Java, Python, and Angular in Padova.
Entwicklung robuster Backend-Komponenten für datenintensive KI-Anwendungen – von der API-Architektur bis zur Modellintegration Gestaltung und Optimierung von Graphdatenbank-Lösungen (z. B. Neo4j) für komplexe…
This role involves building and operating the data foundation for client AI and analytics solutions, including designing ingestion pipelines, lakehouse architectures, and governed semantic layers. The engineer will work closely with AI engineers and data scientists to ensure data is audit-ready and optimized for AI consumption.
If you like providing efficient, effective solutions to complex challenges, join us at Ascent! Be at the heart of helping achieve extraordinary things with software and data for our customers! About Us Ascent has…
Develops and deploys AI/ML models for biomedical research, focusing on urology data using R, Python, SQL, and Neo4j.
Leads backend architecture for a cybersecurity detection/response engine, processing billions of events/sec in real-time with AI to reduce false positives and stop critical threats.
Build and optimize Neo4j graph models to detect fraud rings and money laundering in real time for banking clients, using Python, GDS algorithms, and Bloom dashboards.
Builds and maintains an in-house web app using C# and Angular, contributes to database management, and collaborates on full-stack development with a small team.
Develops AI/ML-driven analytics and data pipelines to strengthen IAM controls, governance, and risk reduction in fintech. Focuses on access anomaly detection, entitlement mining, and control effectiveness using Python, R, SQL, Neo4j, and Tableau.
Designs and manages Apex Group’s multi-cloud data architecture, collaborating with engineers and analysts to build scalable, secure data platforms using AWS/Azure tools, while defining standards and mitigating risks for enterprise-scale fintech operations.
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