Estée Lauder Companies

The Estée Lauder Companies is a global beauty powerhouse, with a portfolio of iconic brands that have shaped the beauty industry for decades. Our commitment to excellence, innovation, and inclusivity extends not only to our products, but also to our people. We believe that every individual brings a unique perspective, and together, we create a vibrant and empowered workforce.

Due to our continued growth we are now hiring a

Machine Learning (ML) Engineer

for our global team in Budapest

Responsibilities

• Architect, build, and productionize end-to-end machine learning systems for large-scale demand forecasting across global prestige beauty brands, covering consumer POS and customer order signals.
• Develop modular, reusable, and scalable ML pipelines for time series forecasting (e.g., hierarchical models, deep learning models, probabilistic ensembles) leveraging state-of-the-art libraries and in-house frameworks.
• Own model lifecycle management: automated training, hyperparameter tuning (e.g., Optuna/Bayes), backtesting, CI/CD, model versioning (e.g., MLflow), and monitoring using best-in-class MLOps practices.
• Engineer robust data pipelines across distributed compute platforms (e.g., PySpark on Databricks, Delta Lake, Ray) to support feature generation, near real-time scoring, and model retraining at scale.
• Integrate ML forecast systems into downstream supply chain platforms (e.g., O9, SAP IBP), ensuring API-based delivery, schema evolution handling, and traceability.
• Design automated model evaluation frameworks with multi-metric validation (e.g., sMAPE, MASE, forecast bias/stability) across business units, regions, and time horizons.
• Collaborate closely with software engineers, data scientists, product managers, and global planners to productionize research and align modeling strategies with business objectives.

Requirements

• Programming & Tooling: Expert in Python (NumPy, pandas, scikit-learn, PyTorch/TF), PySpark, MLflow, Git, Docker, Airflow.
• Forecasting & Modeling: Deep expertise in classical/statistical forecasting (ETS, ARIMA, Exponential Smoothing), machine learning models (XGBoost, CatBoost), and deep learning models (LSTM, N-BEATS, Temporal Fusion Transformer).
• MLOps & Infrastructure: Experience with CI/CD for ML (e.g., using Azure DevOps or GitHub Actions), container orchestration (e.g., Docker, Kubernetes), model monitoring (e.g., Prometheus/Grafana), and experiment tracking.
• Scalability & Performance: Skilled in building distributed ML pipelines using Spark and Delta Lake, with focus on low-latency inference and scalable retraining workflows.
• Data Engineering: Proficient in ETL/ELT workflows, schema design, and pipeline optimization; experienced with event-driven data and batch/stream processing.
• System Design & Architecture: Capable of designing resilient ML systems that integrate with enterprise-scale supply planning tools and forecasting APIs.
• Communication & Collaboration: Adept at translating complex technical topics into business insights for cross-functional teams, including supply chain, planning, and IT stakeholders.

Our hybrid work model

At ELC, we believe that efficiency doesn’t depend on being in the office five days a week. To support work-life balance, we offer our office-based colleagues the opportunity to work from home up to 12 days per month.

Our Benefits

At ELC, we’re excited to offer you a variety of benefits; enjoy exclusive discounts on our premium brands including Estée Lauder, Tom Ford, Jo Malone London, La Mer, and many more. We also provide a yearly bonus to recognize your contributions. You’ll also have access to our flexible cafeteria plan, providing personalized options for your specific needs. Get active with the AYCM sport pass program available as a self-financed option tailored to your fitness goals. We care about your well-being, our private health insurance with Medicover ensures you have access to quality healthcare. We also provide 24/7 mental health support through Magellan Healthcare, ensuring you and your family have access to professional counseling whenever needed. Additionally, enjoy free access to LinkedIn Learning for continuous development, and take advantage of our mobile fleet plan.

We are an equal opportunity employer. We welcome applications from candidates of all backgrounds. Minorities, women, veterans, and individuals with disabilities are encouraged to apply. It is Company's policy not to discriminate against any employee or applicant for employment on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability.