Senior Data Engineer in Computer Vision

At enliteAI, we’re proud to offer innovative Artificial Intelligence-based 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.

• Collaborate with our machine learning and backend engineers to design and manage scalable processing pipelines in productive environments.
• Implement robust processing flows and I/O-efficient 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.

• 3+ years of work experience in data-driven 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

• International product and innovation-driven 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 Vienna's 1st district and minimal core hours