Start Date
Immediate
Expiry Date
22 Apr, 25
Salary
0.0
Posted On
23 Jan, 25
Experience
0 year(s) or above
Remote Job
No
Telecommute
No
Sponsor Visa
No
Skills
Good communication skills
Industry
Information Technology/IT
Finanzen
München
Summary
Junior
Vollzeit
Festanstellung
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.
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 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 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
Contact
Lilly Jacobs
lilly.jacobs@check24.d
Please refer the Job description for details