FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformNumpyPandasPythonPyTorchScikit-LearnSQL
About the role
Key responsibilities & impact- Design, train, and deploy ML models for time-series forecasting and related data tasks
- Build and maintain data pipelines using cloud-native tools (AWS, GCP, or Azure)
- Develop and optimize forecasting models (Prophet, ARIMA, LSTM, TimeGPT)
- Collaborate with data, product, and cloud engineers to deliver reliable, scalable solutions
- Participate in different stages of the project lifecycle - from discovery and PoC to production deployment, presenting your work to stakeholders
Requirements
What you’ll need- 4+ years of experience in Machine Learning / Data Science
- Proven experience with forecasting / time-series modeling (Prophet, ARIMA/SARIMA, LSTM, TimeGPT, XGBoost or similar)
- Strong Python skills (Pandas, NumPy, scikit-learn, PyTorch)
- Experience with model deployment and production ML systems
- Familiarity with data preprocessing and feature engineering for time-series data
- Familiarity with cloud environments (Azure, AWS, or GCP)
- Version control (Git) and SQL
- Advanced English level
Benefits
Comp & perks- Flexible work arrangements
- Professional development
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningData Sciencetime-series forecastingProphetARIMALSTMTimeGPTPythondata preprocessingfeature engineering
Soft Skills
collaborationpresentationstakeholder engagement