Machine Learning Engineer

format:Remote

pythonapache sparkdatabricksmicrosoft fabricsnowflakeany one ofdatabrickssqllightgbmxgboostany one oflightgbmmachine learningdockerci/cd

englishB2

domainFintech

> full description

We are looking for a Middle ML Engineer to turn loosely framed business problems into reliable, actionable models for a proprietary trading platform connecting traders with funding opportunities. You will work with millions of real-time events, taking ownership from problem framing and feature engineering through model validation and business-ready results.

Required for this role

Bachelor’s degree or equivalent in computer science, mathematics, engineering, or a related field, with coursework in machine learning or statistical learning.
Strong Python and PySpark skills, with the ability to write clean, tested, maintainable code.
Hands-on experience with a cloud data platform such as Databricks, Snowflake, Fabric, or similar, together with strong SQL, including window functions and multi-table joins.
Solid understanding of core ML concepts, including cross-validation, overfitting, class imbalance, data leakage in time-ordered data, and selecting evaluation metrics appropriate to the problem.
Hands-on experience with gradient-boosted trees, including XGBoost and LightGBM, as well as logistic regression, support vector machines, and k-nearest neighbors.
Hands-on experience with clustering methods, including k-means and other approaches.
Experience with some of the following: survival / time-to-event analysis, experiment design and causal inference, simulation and Monte Carlo methods, probability calibration, Bayesian or hierarchical modeling, and model monitoring and drift detection.
Experience taking a model from development into a scheduled or production environment, including experience with Docker, CI/CD, and workflow orchestration.
Ability to explain model behavior, including feature importance, calibration, and limitations, and present technical results clearly to a non-technical audience.
Fluent spoken English (B2)

Nice to have

Proven experience as a machine learning engineer or in a similar role.
Experience in fintech, trading, or financial services.

Your responsibilities

Develop, test, validate, and maintain machine learning models under the guidance of senior team members.
Turn loosely framed business problems into well-defined modeling tasks and actionable results.
Build and maintain data pipelines and analytical datasets on the company’s cloud data platform.
Perform feature engineering and prepare data for model development and evaluation.
Evaluate model performance rigorously and document assumptions, methods, results, and limitations.
Support statistical analysis, forecasting, and experimentation to inform business decisions.
Present technical findings clearly to non-technical audiences.
Contribute to standards for model documentation, validation, and monitoring.