Junior Machine Learning Engineer

MyFundedFutures is seeking a Junior Machine Learning Engineer to support its data science function. The role focuses on developing, validating, and maintaining machine learning models and data pipelines, while translating business questions into analytical problems and presenting actionable findings to stakeholders.

What you'll do:

• Develop, test, validate, and maintain machine learning models under the guidance of senior team members
• Build and maintain data pipelines and analytical datasets on the Company's cloud data platform
• Evaluate model performance rigorously and document assumptions, methods, 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

What they're looking for:

• • 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 (Databricks, Snowflake, Fabric, or similar)
• • Strong SQL, including window functions and multi-table joins
• • Solid understanding of core ML concepts: cross-validation, overfitting, class imbalance, data leakage (including in time-ordered data), and choosing evaluation metrics appropriate to the problem
• • Hands-on experience with:
• • Gradient-boosted trees (XGBoost, LightGBM)
• • Logistic regression, support vector machines, k-nearest neighbors
• • Clustering methods (k-means and others)
• • 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, model monitoring and drift detection
• • Experience taking a model from development into a scheduled or production environment
• • Docker, CI/CD, and workflow orchestration experience