▷ 3 Days Left: 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.