The role

We are growing our ML Solutions squad inside the Global AI department to help build our MLOps platform and scale our usage of machine learning at HelloFresh. The Global AI team works cross-functionally to identify opportunities to build and deploy advanced ML solutions throughout the organization and works closely with Data Scientists, ML engineers, and Data Engineers to build and maintain best-in-class data products to improve HelloFresh’s user experience. The Global AI team is focused on designing scalable and automated software and ML pipelines using a variety of AI, big data tools, and cloud platforms (AWS, Spark, Prefect, Databricks, etc…)

What you'll do

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

What you'll bring

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

Are you up for the challenge?

Please submit your complete application below including your salary expectations and earliest starting date.

After submitting an application our team will review this and get back to you within 5 business days.

For insight into our interview process take a look at our recent post here.

#Decisions

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Dear potential new HelloFresher. We are thrilled to see your interest in our positions here at HelloFresh! We genuinely care about diversity and inclusion. We hope you can answer our question above, which will be used to analyze and improve our diversity and inclusion efforts.

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Senior Machine Learning Engineer, Decisions Alliance (m/f/x)

The role

What you'll do

What you'll bring

Are you up for the challenge?

Apply for this Job