Senior Machine Learning Engineer

Posted Sep 24

This is a fully remote position, open to applicants in Cyprus.

πŸ“‹ Description

β€’ Create comprehensive full-stack machine learning models, including binary classification and regression, aimed at detecting and preventing financial crime during transaction processing and client onboarding.

β€’ Collect requirements, prototype solutions, and implement models in a production environment.

β€’ Take ownership and enhance the Dynamic Risk Score (DRS) across all markets.

β€’ Conduct daily scoring of the entire client base to facilitate decision-making throughout the client lifecycle.

β€’ Oversee transaction rules utilizing ML-driven detection and optimize both performance and alert volume.

β€’ Set up ongoing monitoring of model and rule performance in a live production environment.

β€’ Develop a champion-challenger framework to ensure the best-performing model remains active.

β€’ Contribute to the development of infrastructure for operationalizing ML models and facilitating inter-service interactions.

β€’ Deploy, manage, monitor, and enhance production ML systems as part of a small team.


⛳️ Requirements

β€’ Minimum of 5 years of experience as a Machine Learning Engineer or Full-stack Data Scientist.

β€’ Hands-on experience with production deployments, including API services like FastAPI.

β€’ Proficient in SQL and Python.

β€’ Familiarity with cloud data platforms, such as Databricks.

β€’ Strong architectural skills to design and enhance infrastructure that supports models of varying complexity.

β€’ Experience with model monitoring and champion-challenger / A-B testing in a production environment.

β€’ Educational background in quantitative fields such as math, engineering, economics, or computer science.

β€’ Full professional proficiency in English.

β€’ Experience in graph modeling or with foundation models/embeddings is a plus.

β€’ Strong ability to work independently, driven by results, and thrive in a start-up environment with minimal supervision.


🏝️ Benefits

β€’ Access to continuous personal and professional development resources and opportunities.

β€’ Flexibility to work remotely or in a hybrid model across Europe.

β€’ Participation in a Stock Options Program available to all team members.

β€’ A supportive environment focused on employee well-being and success.

β€’ Work & Swim Program: enjoy one month in a corporate apartment in Cyprus.

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