ML Engineer – Forecasting

This is a fully remote position, open to applicants in Europe.

📋 Description

• Design, train, and implement machine learning models for time-series forecasting and associated data tasks.

• Construct and sustain data pipelines utilizing cloud-native platforms (AWS, GCP, or Azure).

• Develop and enhance forecasting models (Prophet, ARIMA, LSTM, TimeGPT).

• Work in collaboration with data, product, and cloud engineers to provide dependable and scalable solutions.

• Engage in various phases of the project lifecycle - from discovery and proof of concept to production deployment, showcasing your work to stakeholders.

⛳️ Requirements

• Over 4 years of experience in Machine Learning / Data Science.

• Demonstrated experience with forecasting / time-series modeling (Prophet, ARIMA/SARIMA, LSTM, TimeGPT, XGBoost, or similar).

• Proficient in Python (Pandas, NumPy, scikit-learn, PyTorch).

• Experience with deploying models and managing production ML systems.

• Knowledge of data preprocessing and feature engineering for time-series datasets.

• Familiarity with cloud platforms (Azure, AWS, or GCP).

• Proficient in version control (Git) and SQL.

• Advanced level of English proficiency.

🏝️ Benefits

• Flexible work arrangements.

• Opportunities for professional development.