Senior Machine Learning Engineer

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

📋 Description

• Design and implement full-stack machine learning models, including binary classification and regression, aimed at detecting and preventing financial crimes during transaction processing and client onboarding.

• Collect requirements, create prototypes, and deploy models into production environments.

• Take ownership of the Dynamic Risk Score (DRS) across all markets, assessing the entire client base on a daily basis.

• Facilitate decision-making throughout the client lifecycle, including quarantine procedures, alert suppression, and future credit assessments.

• Oversee transaction rules with machine learning-driven detection and enhance performance while managing alert volumes.

• Implement continuous monitoring of models and rule performance in production.

• Create a champion-challenger framework to ensure the best-performing model remains active.

• Engage in infrastructure development for the operationalization of machine learning and inter-service interactions.

• Serve and infer models of varying complexities.

⛳️ Requirements

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

• Experience in production deployment, including API services like FastAPI.

• Proficient in SQL and Python.

• Familiarity with cloud data platforms such as Databricks.

• Strong architectural capabilities, including the design and enhancement of infrastructure for serving diverse model complexities.

• Experience with model monitoring and implementation of champion-challenger / A-B testing in production settings.

• Educational background in quantitative fields such as mathematics, engineering, economics, or computer science.

• Full working proficiency in English is required.

• Experience with graph modeling or foundation models/embeddings is an advantage.

• Ability to work independently, with a focus on results, in a start-up environment.

🏝️ Benefits

• Ongoing personal and professional development resources and opportunities.

• Flexibility to travel and work remotely or in a hybrid model across Europe.

• Stock Options Program accessible to every team member.

• Continuous support and care within a modern, friendly, and eco-conscious corporate culture.

• Work & Swim Program: one month in a corporate apartment in Cyprus.