Logo Sportradar Media Services GmbH

Senior Machine Learning Engineer

Sportradar Media Services GmbH

Job

  • Level
    Senior
  • Job Feld
    Data, Back End
  • Anstellung
    Vollzeit
  • Vertragsart
    Unbefristetes Dienstverhältnis
  • Ort
    Wien
  • Arbeitsmodell
    Hybrid, Onsite

    • Job Technologien

    Deine Rolle im Team

    • Join our division, "Sportradar ad:s", where we provide data-driven marketing and sponsorship services to the iGaming industry.
    • The AI team plays a crucial role in expanding and enhancing our product offerings with cutting-edge Machine Learning (ML) and Generative AI solutions.
    • As a (Senior) ML Engineer in the AI team at Sportradar, you will have the opportunity to shape and contribute to all components of our AI stack-from the initial idea to the final product.
    • Your work will span model training and fine-tuning, MLOps, deployment and monitoring, ensuring our AI-driven solutions are scalable, efficient, and impactful.
    • We follow an experiment-based approach, continuously testing new ideas, analyzing results, and sharing insights across the division to drive innovation.
    • You will collaborate closely with sales and product managers to develop cutting-edge AI solutions that enhance our marketing and sponsorship services.
    • Our technology stack relies on scalable microservices hosted in the cloud, allowing us to build flexible and high-performance AI-powered products.
    • From a technical perspective, our AI solutions are built on a scalable, cloud-native architecture within AWS.
    • We leverage Infrastructure-as-Code (IaC) with Terraform to ensure consistency and efficiency across our environments.
    • Our backend is predominantly developed in Python, with AWS Lambda powering our serverless compute, Amazon S3 for data storage, and CloudWatch for monitoring and observability.
    • For AI/ML workloads, we rely on Amazon SageMaker and Bedrock, enabling seamless model training, fine-tuning, and deployment.
    • Our analytics stack includes AWS Athena and QuickSight, providing powerful insights to drive data-driven decision-making.
    • Continuous integration and deployment (CI/CD) are managed through GitLab CI, ensuring smooth and reliable software delivery.
    • As an engineering team, we focus on building extensible, well-abstracted, and maintainable systems.
    • Thoughtful refactoring and robust testing practices guide our development process, ensuring high-quality, scalable AI solutions.
    • Contribute and grow as part of a self-organized, agile software development team.
    • Build our advertising technologies - from understanding the requirements to creating the fully functional data/AI solutions.
    • Design and craft highly scalable, fault-tolerant ML/AI systems, while keeping your focus on quality, observability and security.
    • Engage in a supportive, collaborative team environment and contribute to maintaining a positive culture.
    • Share ideas and insights to different stakeholders within the division.

    Unsere Erwartungen an dich

    Qualifikationen

    • Strong problem-solving skills and the ability to think critically when designing AI-driven solutions.
    • Strong ownership, curiosity, and a drive to explore new AI technologies and methodologies.
    • Enjoy working in an experiment-based environment, with a proactive approach to testing hypotheses, analyzing results, and sharing insights.
    • Are comfortable communicating findings, collaborating with cross-functional teams, and contributing to data-driven decision-making.

    Erfahrung

    • Professional experience in Data Science, Machine Learning, or AI engineering, with a focus on Natural Language Processing (NLP), Speech Recognition, or Computer Vision.
    • Experience with Generative AI is a strong plus.
    • Hands-on experience with ML model training, fine-tuning, deployment, and monitoring.
    • Experience with cloud-based solutions (AWS SageMaker and Bedrock) is a strong plus.
    • Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
    • Experience working in agile/lean environments, with a mindset for continuous learning and improvement.

    Benefits

    Gesundheit, Fitness & Fun

    Work-Life-Integration

    Mehr Netto

    Essen & Trinken

    Job Standorte

    Map of company locations
    • Standort Wien

      Standort Wien

      Österreich

    Themen mit denen du dich im Job beschäftigst

    Das ist dein Arbeitgeber

    Sportradar Media Services GmbH

    Sportradar Media Services GmbH

    Leonding, Wien, Gera, Bremen

    Die Sportradar-Gruppe ist eine internationale Organisation, die mehr als 1.900 Mitarbeiter an mehr als 30 Standorten weltweit beschäftigt (u.a. in Ljubljana, Minneapolis, München, Oslo, Trondheim und Warschau). Wir nehmen eine führende Position im Bereich der Schnittstelle zwischen Sport-, Medien- und Wettbranche ein und betreiben auch LAOLA1.at und LAOLA1.tv – Österreichs größte Sportnetzwerke. Trotz vollem Einsatz kommt bei uns der Spaß nicht zu kurz - wir legen großen Wert auf Teamgeist!

    Description

  • Unternehmensgröße
    250+ Employees
  • Gründungsjahr
    2001
  • Sprachen
    Deutsch, Englisch
  • Unternehmenstyp
    Etablierte Firma
  • Arbeitsmodell
    Full Remote, Hybrid, Onsite
  • Branche
    Werbung, Marketing, PR, Sport, Freizeit, Medien, Verlagswesen, Internet, IT, Telekom

    • Dev Reviews

    by devworkplaces.com

    Gesamt

    (3 Bewertungen)
    4.0

    • Career Growth

      3.8

    • Workingconditions

      4.3

    • Culture

      4.3

    • Engineering

      3.6
    Alle Dev Reviews auf devworkplaces.com
    Logo Sportradar Media Services GmbH

    Senior Machine Learning Engineer

    Sportradar Media Services GmbH
    Ort
    Wien
    Arbeitsmodell
    Hybrid, Onsite

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