Predictive Intelligence Engineer

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 Predictive Intelligence 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, state-of-the-art services in Python.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 You have 3–6 years of professional experience building and deploying machine learning models in a high-volume production environment, with a strong focus on time series forecasting.Proven expertise in both Python and R for production-level data science. You are an expert in at least one, with professional, hands-on experience in the other.Python: pandas, scikit-learn, LightGBM/XGBoost, etc.R: dplyr, data.table, forecast/fable, tidymodels, etc.Demonstrated experience working with large-scale data and building high-performance, production-grade ML systems.Deep theoretical and practical understanding of time series analysis, from classical statistical models (ARIMA, ETS) to modern machine learning techniques.Hands-on experience with software engineering best practices and tools, including Git, Docker, and CI/CD pipelines.Strong experience with SQL for complex data extraction and analysis.You are a pragmatic problem-solver, driven by the challenge of optimizing a complex system and delivering measurable business impact.Nice to Have Experience with probabilistic forecasting and inventory optimization techniques.Exposure to cloud platforms (GCP, AWS, or Azure) and MLOps tools (e.g., MLflow, Kubeflow).Experience with large-scale data processing tools (e.g., Spark, Dask).Prior experience in a SaaS, e-commerce, or supply chain tech company.This is what we offer Competitive Compensation Package: Reflects your skills and contributions.Holistic Work-Life Harmony: We value your personal time and promote a healthy work-life balance.Comprehensive Health Coverage: Robust insurance plans for your peace of mind.Investment in Professional Growth: We invest in your development with paid training programs.Adaptable Work Hours: We offer flexibility in your work schedule.Hybrid Work Model: Enjoy a blend of remote and in-office work.Strategic Career Development: We provide personalized growth plans and advancement opportunities.Tailored Workspace Setup: Get a high-quality PC, monitor, keyboard, and other essentials.Social Fridays: Wind down the week with casual drinks and foster team camaraderie.This Job Description made your day? Then send us your CV in English and get prepared to meet our team We are excited to see how you can help us scale the future of inventory optimization.