Karrierprogram állások Külföldön (adatbázisszakértő)

Internship Data Base Engineering (3 to 6 months) (m/w/d) Are you curious and eager to seize new opportunities? Do you go the extra mile and have an open, communicative personality with a strong customer and solution orientation? Then let's exceed our customers' expectations together and continue...

Your role will be at the forefront of tackling complex challenges in the field of ophthalmology...

• Hands-on experience building foundations for realtime simulation systems
• The chance to learn, implement and extend state-of-the-art simulation methods (XPBD, advanced constraint solvers, hybrid models)
• Mentorship from PhD-level researchers

• Develop and optimize data pipelines and algorithms within the Snowflake environment.
• Manage code repositories, automate deployment processes, and collaborate with team members using Azure DevOps for continuous integration and machine learning model improvement.

• You will contribute to improving our foundation recommender system
• Your role involves exploring and evaluating new machine learning methods, including applications of LLMs for recommender systems
• Expect to support personalized CRM communications (push notifications, in-app messages, newsletters)

• Prepare large-scale automated driving datasets for training and evaluation purposes.
• Contribute to the development and maintenance of the coding framework for data processing, model training, and validation of end-to-end driving systems.

• An opportunity to build the foundation for next-generation products
• The possibility to learn and implement cutting edge 3D computer vision methods
• Mentorship by experienced PhD-level experts
• The option to write a master thesis following an internship or working student position

• Collaborate with cross-functional teams to define data requirements and ensure data quality
• Participate in monitoring, troubleshooting, and resolving data processing issues

• Become familiar with our technology stack and learn everything about the high-level job market and our job classification framework.
• Research and select the most high-level jobs and classify them according to our key criteria.

• Develop and optimize our job data crawling pipeline, ensuring high-quality job data acquisition.
• Implement and refine import mapping, improving data accuracy and classification.
• Support the integration of external data sources via APIs or scraping frameworks.