Python Developer (AI & ML projects)
Skills
AuroraMicroservicesAws CodepipelineNeo4jOpenapiRest ApiPerformance ProfilingFraud DetectionSwaggerCloudwatchGithub ActionsMachine LearningProblem SolvingModelTestingObservabilityCi/CdGrafanaLlmPythonGnnGraph DataNeptuneCypherGremlinGraphsageNode2vecPygDockerKubernetesC#GenaiRabbitmqKafkaGraph Database
About the Role
You will join the AI & ML team to help build a reliable, scalable, and intelligent fraud detection engine. Working closely with tech leads, researchers, ML engineers, and product owners, you will apply your Python expertise to design, build, and operate core components of the engine, tackling complex and high-impact engineering challenges. Depending on your experience, you will specialize in signal modelling and data representation, backend microservices and distributed architecture, or analytical frameworks and decision systems for fraud detection.
Requirements
- Bachelor's or master's degree in computer science, Software Engineering, or related field
- Strong Python development skills with at least 5 years as a Python Developer, with a focus on building scalable and high-performance applications
- Experience with REST API design and development (OpenAPI/Swagger)
- Good knowledge of Microservices architecture principles and patterns
- Experience with Graph databases and query languages (Neo4j, Neptune, Cypher, Gremlin)
- Containerization with Docker
- Strong problem-solving and analytical mindset
- Ability to work collaboratively in a cross-functional team
Responsibilities
- Design, integrate, and operate graph-oriented databases for advanced relational analysis
- Ensure code quality through thorough testing and participate in code reviews
- Monitor micro-service performance and provide timely improvements and bug fixes
- Work closely with the product owner to understand customer needs and contribute to the product roadmap
- Optimize algorithms and services to ensure high performance, scalability, and consistent reliability
- Design and model signals into expressive and efficient data structures
- Build and scale backend microservices and distributed architecture
- Design and implement analytical frameworks and decision systems to detect fraudulent patterns
Benefits
- Access to mental health platform nilo including 1on1 sessions
- Access to Udemy training platform with unlimited content and certification
- Remote work equipment support and flexible working hours
- Regular onsite gatherings, internal initiatives and summer parties
- Paid special leave days
- Workcation possibilities to combine work with travel