2 дня назад
Junior Machine Learning Engineer (Fintech)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Junior Machine Learning Engineer (Fintech): Developing, validating, and maintaining machine learning models and data pipelines for proprietary trading with an accent on model performance, statistical analysis, and trustworthy model interpretation. Focus on building production-ready models, detecting data leakage and model drift, and presenting technical findings to business stakeholders.
Location: Plano, Texas, United States. Applicants must be authorized to work in the applicable country without employer sponsorship.
Company
provides proprietary trading capital, tools, and community services for traders, using data-driven products to support funded trading.
What you will do
- Develop, test, validate, and maintain machine learning models under senior guidance.
- Build and maintain data pipelines and analytical datasets on the cloud data platform.
- Evaluate model performance and document assumptions, methods, limitations, and validation results.
- Support statistical analysis, forecasting, experimentation, and business decision-making.
- Present technical findings clearly to non-technical stakeholders.
- Contribute to standards for model documentation, validation, monitoring, and drift detection.
Requirements
- Bachelor’s degree or equivalent in computer science, mathematics, engineering, or a related field, with machine learning or statistical learning coursework.
- Strong Python, PySpark, and SQL skills, including window functions and multi-table joins.
- Hands-on experience with Databricks, Snowflake, Fabric, or a similar cloud data platform.
- Understanding of cross-validation, overfitting, class imbalance, data leakage, time-ordered data, and evaluation metrics.
- Experience with gradient-boosted trees, logistic regression, support vector machines, k-nearest neighbors, and clustering methods.
- Experience deploying models to scheduled or production environments, plus Docker, CI/CD, and workflow orchestration.
Nice to have
- Graduate degree or proven experience as a machine learning engineer or in a similar role.
- Experience with survival analysis, causal inference, Monte Carlo simulation, probability calibration, Bayesian modeling, model monitoring, or drift detection.
- Fintech, trading, or financial services background.
Culture & Benefits
- Work on real data problems that directly influence the product and business.
- Collaborate with Data Science, Analytics, and stakeholders across the organization.
- Comprehensive benefits and performance-based incentives.
- Inclusive equal employment opportunity environment.
- Accommodation support is available during the application process.
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