Senior Backend Engineer

At enliteAI were proud to offer innovative AIbased 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 Backend 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

• Manage and mature the interfaces to our machine learning pipelines and make these processing workflows available to endcustomers via a GraphQLbased automatization API.
• Own endcustomer facing REST APIs providing geospatially referenced detection results to frontend applications (Fast API Flask).
• Deploy and maintain applications in production environments (onpremises and in the cloud)
• Design and specify API interfaces data models and database schemes.
• Make valuable contributions to our internal products along the entire development lifecycle from design to deployment and operations

Requirements

• 3 years of industry experience ideally in datadriven environments
• Profound data engineering knowledge (including PostgreSQL S3)
• Excellent Python programming skills backend related technologies (e.g. Fast API Flask Postgres SQLalchemy Alembic) and scientific Python libraries (Pandas Numpy)
• Used to mature workflows in software development (Git issue management documentation unit testing CI/CD)
• Operations skills (Linux Docker Kubernetes Cloud computing)
• Motivated problem solver who derives satisfaction from both coding and exploring innovative solutions
• 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