At enliteAI, we’re proud to offer innovative AI-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 MLOps 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.TasksCollaborate with our machine learning engineers and data engineers to publish our models into processing pipelines and deploy to productive environments.Design and manage our GPU & CPU server infrastructure, from on-prem Kubernetes clusters to cloud deployments.Manage and orchestrate the data pipelines and data storage systems and associated synchronization processes for model training and execution.Own our CI/CD pipelines (based on Gitlab)Establish monitoring of model, pipeline and infrastructure health. Set up logging to capture relevant information for debugging and auditing.Enforce security best practices to safeguard both the models and the data they process.Create and maintain comprehensive documentation of the infrastructure, deployments, configuration and system architecture.Requirements3+ years of work experience in data-driven environmentsPassionate about everything related to AI, Machine Learning and Computer VisionExperience with Kubernetes and Docker (Helm, Terraform, Amazon Kubernetes Service)Familiarity with cloud environments (AWS, Gcloud, Azure)Python programming skills, emphasis on backend related technologies (e.g. Flask, Postgres, SQLalchemy)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 AustriaenliteAI is a technology provider for Artificial Intelligence specialized in Reinforcement Learning and Computer Vision/geoAI.
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