Machine Learning Infrastructure Specialist

vor 2 Monaten

Wien, Wien, Österreich EnliteAI GmbH Vollzeit
About EnliteAI GmbH

We are a technology provider for Artificial Intelligence, specialized in Reinforcement Learning and Computer Vision/geoAI.

Job Description

We are seeking an experienced 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.

Responsibilities
  • Collaborate with our machine learning engineers and data engineers to publish 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.
Requirements
  • 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
Benefits
  • 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

We are shaping the future of smart power grids with our reinforcement learning solution for the energy sector.

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