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.

millions of demand forecasts every day

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.

• 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.