We are seeking a highly organized and efficient Data Quality Specialist to oversee our data labeling workforce. In this role, you will be responsible for the quality assurance of annotated data provided by our external partners, ensuring the consistency of received data with the latest provided annotation guidelines, and providing feedback regarding the quality of received imagery data.

Key Responsibilities

• Ensure all provided annotated data is consistent and reflects our latest annotation guidelines.
• Review and evaluate imagery datasets provided by external partners.
• Provide detailed feedback on the quality of annotated datasets.

• Exceptional attention to detail and precision.
• Enthusiasm and flexibility to work on a variety of projects.
• Ability to quickly acquire knowledge in a new domain.
• Strong ability to follow complex instructions.
• Independence in managing tasks and responsibilities.
• Fluent in English

• Work closely with an enthusiastic & research-oriented development team with extensive expertise in AI, computer vision, and geodata
• Get hands on experience with very large scale geodata projects, spanning cities, municipalities and entire countries.
• A monthly salary of max. EUR 518.44 (Geringfügigkeitsgrenze) is offered. The payment will be agreed according to individual qualifications and experience.

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.

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Key Responsibilities

• 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.

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• 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

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.

Key Responsibilities

• Collaborate 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.

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• 3+ years of work experience in data-driven environments
• Passionate about everything related to AI, Machine Learning and Computer Vision
• Experience 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)
• Data engineering knowledge (SQL databases, distributed systems)
• Fluent in English both spoken and in written language.
• Valid work permit for Austria

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• 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

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 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.

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Key Responsibilities

• Manage and mature the interfaces to our machine learning pipelines and make these processing workflows available to end-customers via a GraphQL-based automatization API.
• Own end-customer facing REST APIs providing geospatially referenced detection results to frontend applications (Fast API, Flask).
• Deploy and maintain applications in production environments (on-premises 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

• 3+ years of industry experience, ideally in data-driven 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

• nternational 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