Join our fast-growing ML Solutions squad within the Global AI team and help shape the future of machine learning at HelloFresh! We’re on a mission to build a cutting-edge MLOps platform and scale ML-powered solutions across the company.

As part of the Global AI team, you’ll work cross-functionally with Data Scientists, ML Engineers, and Data Engineers to design, deploy, and maintain best-in-class data products that enhance the HelloFresh user experience. We thrive on tackling complex challenges, automating workflows, and crafting scalable ML solutions using the latest AI, big data, and cloud technologies (AWS, Spark, Prefect, Databricks, and more).

If you're passionate about building robust ML systems, enjoy working in a dynamic and collaborative environment, and want to make a real impact with AI, we’d love to hear from you!

You are...

• Develop and improve Machine Learning solutions to help our data scientist productionize models across the full customer experience (web, marketing, logistics, …)
• Enable data scientists to easily provision clusters to train models on huge datasets and deploy feature engineering pipelines.
• Deploy and monitor models in production (e.g. building artifacts, measuring model drift, integrating with CI/CD, etc ...)
• Support and consult with data scientists regularly to ensure a high adoption rate of our solutions across HelloFresh and promote best practices
• Close the loop with human interaction: automating measurements and feedback gathering to iterate on our solutions

You have...

• Experience deploying ML models to production
• Previous commercial experience building machine learning models or developing MLOps solutions
• Knowledge of basic modeling techniques for classification, regression, or time-series forecasting (e.g. Logistic Regression, Regularization, Gradient Boosting, Random Forests, etc…).
• Demonstrated experience building software with Python and proficiency with data and ML-related open-source libraries such as Pandas, Scikit-Learn, Catboost/XGboost, TensorFlow.
• Demonstrated experience implementing good software engineering practices (e.g. version control, code modularity, testing, …)
• Experience working with Cloud infrastructure (e.g. AWS, GCP, Azure)
• Experience with Infrastructure as Code (e.g. Terraform or similar)
• Experience with Deep Learning techniques is a plus
• Experience with Apache Spark is a plus

You'll get...

• Competitive salary, 401k with company match that vests immediately upon participation, and company equity plan based on role
• Generous PTO, including sabbatical, and parental leave of up to 16 weeks
• Comprehensive health and wellness benefits with options at $0 monthly, effective first day of employment
• Tuition reimbursement for continuing education (upon 2 years of service)
• Up to 85% discount on subscriptions to HelloFresh meal plans (HelloFresh, Green Chef, Everyplate, and Factor_)  
• Access to 7 different Employee Resource Groups (ERGs) including those for BIPOC, women, veterans, parents, and LGBTQ+
• Inclusive, collaborative, and dynamic work environment within a fast-paced, mission-driven company that is disrupting the traditional food supply chain

This job description is intended to provide a general overview of the responsibilities. However, the Company reserves the right to adjust, modify, or reassign work tasks and responsibilities as needed to meet changing business needs, operational requirements, or other factors.

#Decisions