Senior Machine Learning Engineer

Finom

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

Posted 9/24/2026full-timeRemote • CyprusSeniorWebsite

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, infrastructure design, and operationalization within cloud data platforms.

Highest-signal resume keywords

Machine Learning EngineeringProduction DeploymentSQLPythonModel Monitoring

ATS Keywords

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Hard Skills

Machine LearningBinary ClassificationRegressionAPI ServicesModel OperationalizationQuantitative AnalysisGraph ModelingChampion-Challenger FrameworkInfrastructure DesignCloud Data Platforms

Soft Skills

Proactive Work EthicResult-DrivenAbility to Work Independently

Tools & Technologies

FastAPIDatabricks

Industry Keywords

Financial Crime DetectionTransaction ProcessingClient OnboardingDynamic Risk ScoreModel Performance Optimization

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 and prevention during transaction processing and client onboarding
Gather requirements, prototype, and deploy models in production
Own and evolve the Dynamic Risk Score (DRS) across all markets
Score the full client base daily to support decisioning across the client lifecycle
Manage transaction rules with ML-driven detection and optimize performance and alert volume
Establish continuous monitoring of model and rule performance in production
Develop the champion-challenger framework to keep the best-performing model live
Participate in infrastructure development for ML model operationalization and inter-service interactions
Deploy, serve, monitor, and improve production ML systems on a small team

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, e.g. Databricks
Strong architectural skills 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
Ability to work proactively, be result-driven, and work with little supervision in a start-up setting

Benefits

Comp & perks

Continuous personal and professional development resources and opportunities
Remote or hybrid work flexibility across Europe
Stock Options Program available to every team member
Support and care focused on employee well-being and success
Work & Swim Program: one month in a corporate apartment in Cyprus