To strengthen Paylead’s capabilities in bank transaction analysis for banks and merchants, we are looking for a SeniorMachine Learning Engineer whose missions will include:Review existing Data Science and ML algorithms and continuously improve themPropose and experiment with new ML‑based solutions to tackle real‑life business problemsBuild ML algorithms and data pipelines with a strong focus on robustness, scalability, and complianceDeploy, monitor, and scale ML algorithms across all Paylead use cases (internal and external)You'll be part of a multidisciplinary, experienced squad of 6 engineersAt least 4years of professional experience in Machine LearningExcluding internships and academic projects onlyExperience on challenging, state‑of‑the‑art ML topicsStrong engineering or scientific background, such as:Engineering degree with a major in statistics / AI / ML / data scienceOr Master’s degree in mathematics, statistics, data science, or machine learningHard skillsDeep understanding of Machine LearningKnows how the models work internallySolid grasp of the mathematics behind ML modelsHands‑on experience with ML use cases such as prediction and recommendation systemsStrong Python skills, with experience in common ML / data libraries (Pytorch, Polars, Sklearn)Solid SQL skillsComfortable with Bash / CLI, Git, and DockerNice to haveExperience with RustFirst exposure to infrastructure topics (deployment, monitoring, cloud, etc.)Soft skillsGenuine passion for Machine LearningStrong team playerBusiness and product mindset: able to understand use cases, constraints, and impactWillingness to go the extra mile when neededClear, structured communication (both spoken and written)Nice to haveContributions to open‑source projects or significant personal projectsStrong writing skills, including documentation for internal and external audiences Screening with CTOTech interview with ML EngineersOpen discussion with the squad