
501 - 1000 employees
Founded 2019
💳 Fintech
💸 Finance
🤝 B2B
Fintech • Finance • B2B
Finom is a fintech company offering comprehensive financial services for SMEs, freelancers, and companies. The platform provides tools for invoicing, expense management, and easy online account opening with added benefits like cashback and international IBAN accounts. Finom ensures data security through partnerships with banks like SolarisBank and Treezor, making it a fast and reliable service for business financial management.
🕒 September 24
Where this job comes from
Posted on Finom's careers page, not through a job board
First seen by Remote Rocketship September 24
Still open on Finom's site. Checked 48 minutes ago.

501 - 1000 employees
Founded 2019
💳 Fintech
💸 Finance
🤝 B2B
Fintech • Finance • B2B
Finom is a fintech company offering comprehensive financial services for SMEs, freelancers, and companies. The platform provides tools for invoicing, expense management, and easy online account opening with added benefits like cashback and international IBAN accounts. Finom ensures data security through partnerships with banks like SolarisBank and Treezor, making it a fast and reliable service for business financial management.
• Develop full-stack machine learning models, including binary classification and regression, for financial-crime detection and prevention during transaction processing and client onboarding • Gather requirements, prototype solutions, and deploy models in production • Own and evolve the Dynamic Risk Score (DRS) across all markets, scoring the full client base daily • Manage transaction rules with ML-driven detection and optimize performance and generated alerts • Establish continuous monitoring of model and rule performance in production • Develop a champion-challenger framework to keep the best-performing model live • Participate in infrastructure development for ML model operationalization and inter-service interactions • Serve and infer models of varying complexity • Deploy, serve, monitor, and improve a production ML product that supports quarantine, alert suppression, and future credit decisions
• At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist • Production deployment experience, including API services such as FastAPI • Strong SQL and Python skills • Experience with cloud data platforms such as Databricks • Strong architectural skills; ability to design and improve infrastructure serving models of varying complexity • Experience with model monitoring and champion-challenger / A-B evaluation in production • Quantitative education in math, engineering, economics, or computer science • Full working proficiency in English • Exposure to graph modeling or foundation models/embeddings is a plus • Critical, analytical, proactive, result-driven, and comfortable working with little supervision in a start-up setting
• Continuous personal and professional development resources and opportunities • Flexibility to travel and work remotely or in a hybrid model across Europe • Stock Options Program available to every team member • Constant support and care in a modern, friendly, and eco-conscious corporate culture • Work & Swim Program: one month in a corporate apartment in Cyprus
Apply NowImprove your chances of getting an interview by checking your resume score before you apply.
🕒 September 18
Senior Machine Learning Engineer building reliable, scalable ML systems for an AI productivity platform. Owning model development, deployment, optimization, and production performance.
🕒 September 3
Senior Machine Learning Engineer building reliable, production-grade AI systems for email productivity. Owning model development, deployment, optimization, and iteration at scale.
🕒 June 30
Senior Machine Learning Engineer designing and conducting experiments in medical imaging. Collaborating with experts to optimize machine learning models for real-world applications.
🕒 June 30
Senior Machine Learning Engineer designing and conducting experiments in medical imaging applied AI solutions. Collaborating with domain experts and researchers to translate findings into production systems.