Manager, AI Engineering

📋 Description

• Lead design, development, and deployment of high-performance forecasting algorithms.
• Hands-on coding and architectural leadership; establish best practices for forecasting models.
• Mentor AI/ML engineers, fostering forecasting expertise.
• Drive research and implementation of state-of-the-art forecasting techniques.
• Own end-to-end lifecycle of forecasting models, including MLOps and CI/CD.
• Collaborate with product managers and researchers to define the roadmap.
• Lead by example through code reviews and engineering excellence.

🎯 Requirements

• Deep expertise in time series forecasting
• ARIMA/SARIMA/ETS experience
• Prophet and modern statistical models
• Python with scikit-learn, Pandas, NumPy
• TensorFlow or PyTorch
• Forecasting libraries: statsmodels, pmdarima, Darts
• Cloud platforms: AWS/Azure/GCP at scale
• MLOps, CI/CD, testing, version control

🎁 Benefits

• Winning culture focused on growth and development
• Inclusive, diverse workplace with DEIB emphasis
• Work on mission-critical forecasting for top global customers
• Collaborative environment with cross-functional teams