Machine Learning Engineer

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe.

About the project:
The project deals with financial forecasts, harness technology, data analytics, and deep market insights to deliver attractive, risk-adjusted returns for investors, regardless of market cycles or phases.

About the role:
We are looking for a Machine Learning Engineer to join the team.

Requirements:
- 2+ years of experience as a Machine Learning Engineer.
- Experience of working with time series, LSTM, Arima, and Gradient Boosting.
- Previous experience of working in the fintech is a must.
- BS/MS in AI, Computer Science, Mathematics, or related field.
- Expertise in statistical modeling and quantitative analysis.
- Experience with big data frameworks (e.g., Apache Spark, Hadoop) and real-time data streaming technologies (e.g., Kafka).
- Proven experience of working with data visualization (e.g., Matplotlib, PowerBI, Tableau).
- Previous experience working with core libraries: TensorFlow, PyTorch, Scikit-learn, and Statsmodels.
- Strong hands-on experience with Pandas, NumPy, SciPy, TA-Lib, PyWavelets, pykalman.
- Excellent knowledge of PostgreSQL, S3/GCS, MLFlow, Ray Tune/Optuna.
- Experience of working with Cloud Services: AWS/GCP/Azure.

Would be a plus:
- Understanding of trading principles, market microstructure, algorithmic trading strategies, and various financial instruments (stocks, indices, ETFs, commodities).
- Experience with developing and implementing trading strategies, portfolio management, and risk management techniques.
- Understanding of overfitting issues and knowing how to deal with that and walk-forward testing, k-fold cross-validation.
- Ability to translate complex analytical findings into trading decisions for both technical and non-technical colleagues.
- Expertise in simulation techniques, ensuring strategies are validated against realistic market conditions.

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.