Urgent Search : Time Series Forecasting Engineer (AI & Scale)

About Us

Optiply is at the forefront of three rapidly expanding sectors : Software as a Service, Artificial Intelligence, and E-commerce. With our intelligent purchasing software, we empower over 300 web shops and wholesalers to make smarter buying decisions, using predictive analytics to optimize inventory management. We're not just building a product; we're building the future of autonomous inventory management.

Job Description

At Optiply, we run millions of demand forecasts every day to optimize the global e-commerce supply chain. As our Time Series Forecasting Engineer, you won't just be building models; you'll be engineering the core intelligence of a system that operates at a massive scale. You will be responsible for the performance, accuracy, and scalability of the algorithms that form the backbone of our product. This is a unique opportunity to make a significant impact in a high-volume, production environment, working across both Python and R to solve complex forecasting challenges.

This is what you'll be doing

• Architect, enhance, and maintain our forecasting systems, working across both our Python and R codebases to deliver robust, scalable solutions.
• Take ownership of improving the accuracy and performance of models that are already running on millions of time series daily.
• Research, prototype, and implement next-generation forecasting algorithms (from statistical methods to ML / deep learning) capable of performing on large-scale datasets.
• Enhance and refactor our existing forecasting models in R while leading the development of new
• Develop and own the MLOps pipelines for our forecasting models, including automated training, deployment, A / B testing, and monitoring for performance at scale.
• Collaborate with Backend Engineers and Data Scientists to ensure our forecasting engine is seamlessly and efficiently integrated into our product.

This is who we’re looking for

Nice to Have

This is what we offer

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