About this job
CHECK24 is Germany's largest comparison portal and a dynamic startup in one. In small agile teams, we work daily on more than 50 products to make life easier for our over 15 million customers: We create transparency, make complex products easily understandable, and help consumers save time and money.
As a (Junior) Machine Learning / MLOps Engineer (m/f/d) - Credit Card, you will have the opportunity to gain practical experience while contributing to the development of recommender systems and ranking topics in Fintech area.
The role focuses on the support of the Data Science team integration with DevOps, with the focus on integrating machine learning solutions into the product. Core responsibilities include development of machine learning pipelines while working closely with the data science, product management, and backend teams. High level of communication skills is required as well as proficiency in implementing MLOps solutions.
We are looking forward receiving your application as a (Junior) Machine Learning / MLOps Engineer (m/f/d) - Credit Card at CHECK24 Vergleichsportal Karten & Konten GmbH in Munich.
As a (Junior) Machine Learning / MLOps Engineer (m/f/d) - Credit Card, you will have the opportunity to gain practical experience while contributing to the development of recommender systems and ranking topics in Fintech area.
The role focuses on the support of the Data Science team integration with DevOps, with the focus on integrating machine learning solutions into the product. Core responsibilities include development of machine learning pipelines while working closely with the data science, product management, and backend teams. High level of communication skills is required as well as proficiency in implementing MLOps solutions.
We are looking forward receiving your application as a (Junior) Machine Learning / MLOps Engineer (m/f/d) - Credit Card at CHECK24 Vergleichsportal Karten & Konten GmbH in Munich.
Your Qualifications
- Familiarity with and affinity for implementing MLOps solutions
- Assist in the design and implementation of machine learning algorithms to enhance our ranking / recommender engine performance
- Support the development and deployment of microservices (Docker, Kubernetes)
- Assist in Data Engineering task, such as data warehouse development
- Collaborate with the team to monitor and evaluate model performance, implementing necessary adjustments and improvements
Your Responsibilities
- Background in computer science, informatics, or related fields
- Proficiency in Linux, CICD, and K8 (user level)
- Experience with deployment of machine learning solutions
- Experience in working with on-premise deployment systems
- Experience and proficiency with SQL (Oracle, PostGres) and NoSQL (MongoDB) databases
- Understanding of basic Data Science concepts
- Proficient in Python and familiar with common Data Science stack (Sklearn, MLFlow, FastAPI)
Your Benefits
- Enjoy the dynamics of a start-up environment combined with the security of an established online company
- Benefit from the opportunity to collaborate and network with experienced Data Scientists
- We like to celebrate successes together at numerous events
- Catering five times per week with warm lunch. In addition, we provide you with free drinks, fresh fruit and cereals for breakfast
- Deutschland Ticket included
Do you have any questions?
Lilly Jacobs
Lilly.jacobs@check24.de
https://jobs.check24.de
Applications can only be submitted online via our application form.
Lilly.jacobs@check24.de
https://jobs.check24.de
Applications can only be submitted online via our application form.
