Senior Machine Learning Engineer

Finom

. Develop full-stack machine learning models, including binary classification and regression, for financial-crime detection during transaction processing and client onboarding .

Posted 9/24/2026full-timeRemote • PolandSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying full-stack machine learning models for financial crime detection, with strong skills in SQL and Python. Proficient in model monitoring, champion-challenger frameworks, and cloud data platforms, ensuring optimal performance in production environments.

Highest-signal resume keywords

Machine Learning EngineeringFull-Stack Data ScienceProduction DeploymentSQLPython

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Hard Skills

Machine Learning ModelsBinary ClassificationRegressionModel MonitoringChampion-Challenger FrameworkAPI ServicesFastAPICloud Data PlatformsDatabricksGraph Modeling

Soft Skills

ProactiveResult-DrivenAnalyticalCritical ThinkingIndependent Work

Industry Keywords

Financial Crime DetectionDynamic Risk ScoreTransaction ProcessingClient OnboardingInfrastructure Development

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Develop full-stack machine learning models, including binary classification and regression, for financial-crime detection during transaction processing and client onboarding
Gather requirements, prototype solutions, and deploy models into production
Own and evolve the Dynamic Risk Score across all markets, scoring the full client base daily
Manage transaction rules with ML-driven detection and optimize performance and generated alerts
Monitor model and rule performance in production
Develop a champion-challenger framework to keep the best-performing model live
Participate in infrastructure development for ML operationalization and inter-service interactions
Serve and infer models of varying complexity

Requirements

What you’ll need

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 for 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
Ability to work proactively, result-driven, critically, analytically, and with little supervision in a start-up setting

Benefits

Comp & perks

Continuous personal and professional development resources and opportunities
Flexible remote or hybrid work across Europe
Stock Options Program available to every team member
Constant support and care in a modern, friendly, eco-conscious corporate culture
One month in a corporate apartment in Cyprus through the Work & Swim Program
Equal opportunity workplace