Senior Data Engineer in Computer Vision

At enliteAI were proud to offer innovative Artificial Intelligencebased software applications that meet the needs and wants of our customers. Detekt one of our products is a modern Geospatial Data Platform for object and damage detection in Mobile Mapping data which had its product launch in April 2022.

We are seeking an experienced and enthusiastic Data Engineer to work as part of our product development team for Detekt a Geospatial Data Platform applying large scale computer vision to Mobile Mapping data.

Tasks

• Collaborate with our machine learning and backend engineers to design and manage scalable processing pipelines in productive environments.
• Implement robust processing flows and I/Oefficient data structures powering use cases such as road surface analysis sign detection and localization on large volumes of point cloud and imagery data.
• Design and manage relevant database schemes in close collaboration with backend engineering.
• Create and maintain comprehensive documentation of the processing pipelines database schemes configuration and software architecture.

Requirements

• 3 years of work experience in datadriven environments
• Passionate about everything related to AI Machine Learning and Computer Vision
• Python programming skills emphasis on data engineering and distributed processing (e.g. Flask Postgres SQLalchemy Airflow)
• Proficiency in working with databases and data storage solutions
• Experience with Kubernetes and Docker (Helm Terraform Amazon Kubernetes Service)
• Familiarity with cloud environments (AWS Gcloud Azure)
• Used to mature workflows in software development (Git issue management documentation unit testing CI/CD)
• Fluent in English both spoken and in written language.
• Valid work permit for Austria

Benefits

• International product and innovationdriven team with rich expertise in Computer Vision and Reinforcement Learning as well as distributed training data engineering ML ops and cloud architectures
• Working with the latest technologies at the interface between research and industry (enliteAI is an ELISE EU research network Organizing Node)
• Personal growth: Receive continuous training and education opportunities. Budget and time allotment for the pursuit of individual R&D projects training or conference participations
• Flexible work models: Remote work an office in Viennas 1st district and minimal core hours