AVL is one of the world’s leading mobility technology companies for development, simulation and testing in the automotive industry, and in other sectors. As a global technology provider , AVL offers concepts, solutions and methodologies in the fields of e-mobility, ADAS and autonomous driving, vehicle integration, digitalization, virtualization, Big Data, and much more.

MLOps Data Engineer f/m/d

You will work on innovative and strategic projects in the automotive industry for various domains (after sales, predictive analytics, ADAS validation and verification, battery electric and fuel cell system development) related to the design and development of large-scale data processing systems and scaling of (machine learning based) algorithms via deployment in cloud-native applications (e.g. AWS, Azure, GCP). 
 

YOUR RESPONSIBILITIES:

• Define analytics including the set up of analytics environment and support in defining data governance, including data lifecycle management
• ETL process implementation (telemetry based and stationary test data)
• Development of large scale data processing engines, real-time search and analytics based on time series data
• Working together with data scientist on development of complex on-premise, hybrid and cloud solution architectures
• Design, construct and maintain large-scale (time-series) data processing systems (aggregation, transformation, cleansing, enrichment)
• Scale out of design algorithms via implementation in cloud-native applications 
• Ensure know-how development and transfer as well as continuous improvement in the field of data engineering
   

YOUR PROFILE:

• Engineering degree (BSc, MSc, MEng or PhD) in computer science, computer science/telematics, mathematics/statistics or equivalent technical degree.
• At least 3 years of professional experience and knowledge in the following areas: 
  • Python (mainly in the PyData stack (Pandas/Numpy and related packages).
  • High level programming languages (C#/C++/Java)
  • Scalable processing environments like Python Dask (or PySpark)
  • Linux and scripting languages (Bash Scripts)
  • Database technologies (SQL/OLAP and non-SQL)
  • Containerization and orchestration of containerized services (Kubernetes).
• Proven experience in the use of Cloud technologies (Azure, AWS, GCP) for industrial applications and in the setup of CI/CD data pipelines (including deployment and monitoring of ML-based models) in cloud environments
• A working knowledge of vehicle architectures, communication and components
• Fluent speaking and excellent writing skills in English
• Willingness and ability to interface constructively with a global team
• Readiness for business trips in course of development projects

WE OFFER:

• Homeoffice
• Flexitime Regulation
• Canteen
• Award-winning Training Programs
• Health Management
• Parental Leave Management (Maternity/Paternity Protection & Educational Leave)
   

Annual Remuneration: Due to the Austrian Equal Treatment Act we are obligated to state the annual gross remuneration (full-time) for this position as a basis for negotiation: €57.400,00. We will, in any case, offer market-conforming payment taking qualifications and professional experience into account.