SENIOR MACHINE LEARNING ENGINEER

Company Description Teya exists to make sure that every small and growing business in Europe has the opportunity to thrive.
We want to become Europe’s go-to software solution for these businesses, simplifying their every day and helping them reconnect with the joy of running their business.
Teya was born in and is home to over employees in 15+ countries.
We've built a fast-paced, energetic, and innovative environment that is dedicated to bringing the best solutions to customers.
Job Description Your Team Join a team of machine learning engineers building a real-time decision making platform in Go and Python for fraud detection and mitigation models to protect merchants, their customers, and Teya from fraudulent activities.
Working with advanced predictive models and scalable software systems, build and grow intelligent solutions to reduce all kinds of risk and allow Teya to focus on effectively serving our merchants.
Team technical leader and individual mentor for a diverse and innovative team of machine learning engineers to continuously improve and address fast-moving risks and opportunities.
Collaborate with your peers across Teya to build systems that can integrate real-time decision making wherever opportunity arises.
Your Mission As a Senior Software Engineer on the Fraud Prevention team you will.
Join in the early stage design of a platform for real time decision making including fraud evaluation.
Build high quality solutions using technologies such as Go, Python, Kafka, Docker, and Kubernetes.
Work with dedicated Product Managers to deliver scalable platforms and services to build and execute advanced predictive models.
Help build a culture of quality and delivery.
Work with best in class tools for observability, monitoring, and analysis.
Mentor junior team members and help in their career growth.
Qualifications Your Story 5+ years of professional software development experience.
Some development experience in Go will be a bonus  Ability to solve problems in code using data structures and algorithms and be able to analyze the time and space complexity of those solutions.
Professional experience leading design or architecture (design patterns, reliability, scaling) of multiple new and existing systems.
Professional experience growing peer engineers through mentorship and guidance.
Proven ability to document and communicate technical decisions to a diverse audience.
Able to work autonomously with product and engineering peers to understand and plan work to be done and lead execution.
Additional Information The Perks We trust you, so we offer flexible working hours, as long it suits both you and your team; Health Insurance; Meal Allowance; 25 days of Annual leave (+ Bank holidays); Public Transportation Card; Frequent team events & activities in the office and outside; Possibility to visit other company offices to meet colleagues in instances when travel is safe and appropriate; Office snacks every day; Friendly, comfortable and informal office environment; We want to have the best people by our side - we can sponsor work visas and relocation processes for qualified professionals.
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