Logo Sportradar Media Services GmbH

Senior Machine Learning Engineer

Job

  • Level
    Senior
  • Job Field
    Data, Back End
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Location
    Vienna
  • Working Model
    Hybrid, Onsite
  • Job Technologies

    Your role in the 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.

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    Our expectations of you

    Qualifications

    • 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.

    Experience

    • 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.

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    Benefits

    Health, Fitness & Fun

    Work-Life-Integration

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    Food & Drink

    Job Locations

    Map of company locations
    • Location Vienna

      Location Vienna

      Austria

    Topics that you deal with on the job

    This is your employer

    Sportradar Media Services GmbH

    Sportradar Media Services GmbH

    Leonding, Wien, Gera, Bremen

    At Sportradar, we have more than 1,900 employees working at more than 30 locations worldwide (including Ljubljana, Minneapolis, Munich, Oslo, Trondheim and Warsaw). We occupy a unique position at the intersection of sport, media and gaming industries. In addition to our core business operations we also operate LAOLA1.at and LAOLA1.tv – Austria's largest sports networks. Despite our full dedication to work , fun and teamwork are never far from us.

    Description

  • Company Size
    250+ Employees
  • Founding year
    2001
  • Language
    German, English
  • Company Type
    Established Company
  • Working Model
    Full Remote, Hybrid, Onsite
  • Industry
    Advertising, Marketing, PR, Sports, Leisure, Media, Publishing, Internet, IT, Telecommunication
  • Dev Reviews

    by devworkplaces.com

    Total

    (3 Reviews)
    4.0
    • Career Growth

      3.8
    • Workingconditions

      4.3
    • Culture

      4.3
    • Engineering

      3.6
    All Dev Reviews on devworkplaces.com
    Logo Sportradar Media Services GmbH

    Senior Machine Learning Engineer

    Location
    Vienna
    Working Model
    Hybrid, Onsite

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