Backend Engineer / Machine Learning
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 currently seeking an experienced and enthusiastic Backend Engineer to support our multi-disciplinary development team for Detekt.
Tasks
Build scalable workflows and APIs on top of machine learning pipelines, mainly for computer vision systems operating on large datasets
Deploy and maintain applications in various production environments (on-premises and in the cloud)
Design and specify API interfaces and data models, supported by an exceptional team of machine learning engineers and researchers
Make valuable contributions to our internal products, along the entire development lifecycle from design to deployment and operations
Receive continuous training and education opportunities
Requirements
Passionate about everything related to AI, Machine Learning and Computer Vision
Excellent Python programming skills, backend-related technologies (e.g. Flask, Postgres, SQLalchemy) and scientific Python libraries (Pandas, Numpy)
Data engineering knowledge (SQL and noSQL databases, distributed systems)
Familiarity with standard workflows in software development (Git, issue management, documentation, unit testing, CI/CD)
Operations skills (Linux, Docker, Kubernetes, Cloud computing)
Degree in computer science (BSc/MSc) or equivalent work experience (e.g. HTL)
2 years of work experience, ideally in data-driven environments
Motivated problem solver who derives satisfaction from both coding and exploring innovative solutions
Valid work permit for Austria
Benefits
Enthusiastic, research-driven team with rich expertise in Reinforcement Learning and Computer Vision as well as distributed training, data engineering, ML ops and cloud architecture
Working with the latest technologies at the interface between research and industry (enliteAI is an ELISE EU research network Organizing Node)
Flexible work models: Remote work, an office in Vienna's 1st district and minimal core hours
Budget and time allotment for the pursuit of individual R&D projects, training or conference participations