(Junior) Machine Learning Engineer (m/w/d) AI Forge
Posted 7 hours 24 minutes ago by CHECK24 Services GmbH
Permanent
Not Specified
Other
Bayern, München, Germany, 80331
Job Description
About this job CHECK24 - The Best of Both Worlds: We are Germany's largest comparison portal and a dynamic startup in one. In small, agile teams, we work daily on more than 50 comparison services to make life easier for our over 20 million customers.
Ranking team is part of CHECK24's AI Forge GmbH - a dynamic environment where AI solutions for all products within the CHECK24 universe are developed and which serves as the nucleus for innovation in machine learning services. Our Ranking team is focusing on enabling all products of CHECK24 to create an optimal decision situation for the user using a broad toolbox of ranking & recommendations techniques. We build and host customized ML-services for some products and act as an Innovation Hub for ranking methodology and technology for the company. Working as a Machine Learning Engineer at AI Forge offers numerous opportunities for personal and professional development. You can expect quick decision-making, excellent resources, dedicated time to deepen your technical expertise. We prioritize empirical evidence and iterative experimentation through A/B testing over lengthy decision-making processes, and strive to stay on the cutting edge of ML technology. Minimum Requirements
Ranking team is part of CHECK24's AI Forge GmbH - a dynamic environment where AI solutions for all products within the CHECK24 universe are developed and which serves as the nucleus for innovation in machine learning services. Our Ranking team is focusing on enabling all products of CHECK24 to create an optimal decision situation for the user using a broad toolbox of ranking & recommendations techniques. We build and host customized ML-services for some products and act as an Innovation Hub for ranking methodology and technology for the company. Working as a Machine Learning Engineer at AI Forge offers numerous opportunities for personal and professional development. You can expect quick decision-making, excellent resources, dedicated time to deepen your technical expertise. We prioritize empirical evidence and iterative experimentation through A/B testing over lengthy decision-making processes, and strive to stay on the cutting edge of ML technology. Minimum Requirements
- Completed studies (at least Master's degree) in mathematics, physics, statistics, computer science, electrical engineering or a comparable course of study
- Hands-on experience in developing machine learning services and strong interest to transfer your current ML skills into developing expertise in ranking or recommender systems
- Strong algorithmic thinking coupled with problem-solving skills through leveraging statistics and machine learning
- Solid programming experience with Python and confident handling the main libraries/frameworks for machine learning (e.g. scikit-learn, pandas, numpy, Tensorflow)
- Enthusiasm for designing and bringing machine learning services into production by using software engineering skills and cloud services (AWS)
- Work as a member of a central data science team responsible for developing cutting-edge machine learning algorithms and technologies in the area of recommender systems tailored to different CHECK24 products
- Ensure interpretability and explainability of developed solutions
- Self-responsible implementation of the developed algorithms and models for productive mode, mostly using cloud technologies (AWS)
- Research and experiment with new algorithms and technologies across data science to improve the technical capabilities of the team
- We value your commitment: Permanent contracts with an attractive and performance-oriented salary package. Vouchers for numerous CHECK24 products, a subsidized company pension plan, subsidized company bicycle leasing and an MVV ticket are on top.
- We support your development: Individual development and training opportunities through our strong and sustainable growth. We also support your development with professional training and regular feedback meetings.
- Steep career opportunities: Take the path to becoming a specialist or develop into a manager with us. Environment in which you will feel comfortable: Flat hierarchies and open-door policy to management. In addition, we provide you with an extensive range of drinks, fresh fruit and cereals as well as one free lunch per week.
Fabian Stechele
Send us applications only through our online application form, please. Apply now.