Senior Backend Software Engineer

vor 1 Woche


Wien, Wien, Österreich EnliteAI GmbH Vollzeit
About EnliteAI GmbH

We are a technology provider for Artificial Intelligence, specializing in Reinforcement Learning and Computer Vision/geoAI. Our innovative AI-based software applications meet the needs and wants of our customers.

Job Description

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.

Key Responsibilities
  • Design and implement 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.
  • Deploy and maintain applications in production environments (on-premises and in the cloud).
  • Design and specify API interfaces, data models and database schemes.
  • Contribute to the development of our internal products, along the entire development lifecycle from design to deployment and operations.
Requirements
  • 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).
  • Experience with 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.
What We Offer
  • 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.
  • 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.


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