Predictive Intelligence Engineer

About UsOptiply 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 DescriptionAt 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.