Data Pipeline Operator Intern

Location: Budapest, Hungary

Data Pipeline Operator Intern

The Data Automation Team focuses on connecting and operating all the auto-annotation tools that generate the training data for our environment perception solutions, and organizing the results in a way that AI researchers can readily filter and use the created data. From the massive amount of recordings, it’s important to prioritize processing and reprocessing jobs, select the recordings that fulfil the AI researcher’s needs, follow up on their progress both for one-of and recurring requests for annotated data, and identify if new recordings have to be collected fulfilling specific criteria. This requires continuous communication with the stakeholders, maintaining the list of priorities, monitoring and reporting progress, and follow up on any issues identified.

Job Summary 

Collect requirements about annotated data requests
Submit data processing jobs according to current priorities
Monitor the progress of data processing jobs, report about progress
Identify issues blocking data processing, communicate with relevant teams on resolving those
Identify the need for collecting further recordings, communicate with vehicle teams about the timeline and requirements for data collection

Key Qualifications 

Ongoing (active/passive) full-time university studies for at least one more year on engineering or IT field 
At least 20-25 working hours/week in our Budapest office  
Experience in data handling and manipulation using SQL
Intermediate-level English knowledge  
Precise, reliable, quality focused attitude
Independent and proactive attitude

Considered as a plus 

Experience in using command line tools
Experience with Python
Basic Bash knowledge
Basic Linux knowledge

What We Offer  

Possibility to gain valuable work experience at the forefront of the automotive R&D sector  
Competitive student salary and long-term bonus system  
Inspiring and supportive working environment  
Teambuilding events and other benefits for students  
Flexible working hours  
Long-term job opportunity  
Possibility of an immediate start  
In-service training opportunity  
Fitness opportunity

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