Machine Learning Engineer
Hybrid
Full Time
#Technology
#Machine Learning
#Risk
#SQL
#Python
#AWS
#Kubernetes
About Grover
Unlock the future of tech with Grover! We're revolutionizing access to cutting-edge technology, offering affordable and sustainable solutions through flexible tech rental subscriptions. No deposits, no commitments—just the latest tech on-demand, exactly when and where you need it. Join us in transforming the tech landscape across Germany, Austria, Spain, and The Netherlands. Your journey to limitless possibilities begins with Grover!
Our Mission & Vision
To date, Grover has circulated over 1.2 million devices, employs over 400 people, and stands as one of the fastest-growing scale-ups in Europe. We hit Unicorn status in 2022, and are scaling internationally!
We're proud to champion a more sustainable way to use tech. With an average of 3-4 rental cycles per device depending on the category, we estimate that the rental of our portfolio from 2015-2021 resulted in 160,000 fewer e-waste products and about 250 tons of e-waste.
We are looking for a mid-level Machine Learning Engineer to deploy the machine learning models for our talented Risk team hybrid (2 days per week min.) at our Berlin HQ. This role will primarily focus on the architecture, deployment, and maintenance of the ML models, rather than the development, which is owned by the data scientists.
🎯 What you will contribute:
- Productionize and deploy Machine Learning models for Credit Risk and Fraud Detection in cooperation with Data Scientists.
- Design, develop, maintain, and monitor ML pipelines.
- Build, validate, and clean datasets for production environments.
- Maintain and support real-time decision engines (order approval, fraud detection).
- Develop, maintain, and optimize deployment pipelines.
🤝 What you bring:
- BSc in Mathematics, Computer Science, Physics, or similar fields.
- 2-5 years of overarching engineering experience, preferably including fast-paced start-up environments.
- Knowledge of software development practices.
- Knowledge of Machine Learning algorithms.
- Knowledge of one of the big cloud services (AWS, Google, Azure).
- Knowledge of frameworks like Faust and Pandas.
- Excellent SQL skills are a must.
- Knowledge of Python, Docker & Kafka is a plus.
- Knowledge of Kubernetes and Terraform is a plus.
- Knowledge of Amazon SageMaker is a plus.
- Excellent communication skills; fluency in English.
To spark your curiosity, we currently work with the following Tech stack:
- Python 3.6+ (Faust, sklearn, pandas, …)
- PostgreSQL
- Kafka
- Kubernetes
- AWS
- Infrastructure as code: Terraform
❤️🔥 What you will love about us:
- Hybrid model with 30 days per year to work abroad
- 28 days of paid vacation, plus another additional day after 3 & 4 years
- BVG monthly discount to drive you anywhere in Berlin
- Company Pension Scheme and a top-up to Parental Leave (for both parents)
- Online Mental Wellness support with Nilohealth
- Urban Sports Club or ClassPass Corporate Discount
- Annual learning budget of 1000€
- 1 Paid Volunteering Day per Month
- Exclusive Grover Tech discount for you & your loved ones
- A diverse global team of 72 nationalities (and counting!)
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