Senior Machine Learning Engineer

Join our division Sportradar ad:s where we provide datadriven marketing and sponsorship services to the iGaming industry. Our purposebuilt tools and services cater to the individual marketing needs of sportsbooks and media publishers worldwide. Imagine working in an environment surrounded by sports data live playbyplay statistics virtual sports microservices and betting all while maintaining an agile mindset and a commitment to delivering exceptional value for our customers. Were passionate about our work and deeply care about our people. If youre ready for the challenge join us in growing innovating and developing!  

The AI team plays a crucial role in expanding and enhancing our product offerings with cuttingedge Machine Learning (ML) and Generative AI solutions. We leverage AI to unlock new opportunities for our clients providing smarter datadriven marketing strategies and automating complex decisionmaking processes. Additionally we streamline internal operations by generating indepth analytics enabling our teams to work more efficiently and make betterinformed decisions. 

THE CHALLENGE: 

As a(Senior) ML Engineerin the AI team at Sportradar you will have the opportunity to shape and contribute to all components of our AI stackfrom the initial idea to the final product. Your work will span model training and finetuning MLOps deployment and monitoring ensuring our
AIdriven solutions are scalable efficient and impactful. 

We follow anexperimentbased 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 cuttingedge AI solutions that enhance our marketing and sponsorship services. Our technology stack relies onscalable microservices hosted in the cloud allowing us to build flexible and highperformance AIpowered products.  

From a technical perspective our AI solutions are built on ascalable cloudnative architecturewithin AWS. We leverageInfrastructureasCode (IaC) with Terraformto ensure consistency and efficiency across our environments.
Our backend is predominantly developed inPython withAWS Lambdapowering our serverless computeAmazon S3 for data storage andCloudWatchfor monitoring and observability.
For AI/ML workloads we rely onAmazon SageMaker and Bedrock enabling seamless model training finetuning and deployment. Our analytics stack includesAWS Athena and QuickSight providing powerful insights to drive datadriven decisionmaking. Continuous integration and deployment (CI/CD) are managed throughGitLab CI ensuring smooth and reliable software delivery. As an engineering team we focus onbuilding extensible wellabstracted and maintainable systems. Thoughtful refactoring and robust testing practices guide our development process ensuring highquality scalable AI solutions. 

Key Responsibilities: 

• Contribute and grow as part of a selforganized 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 faulttolerant 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 

ABOUT YOU:  

• Professional experiencein Data Science Machine Learning or AI engineering with a focus onNatural Language Processing (NLP) Speech Recognition or Computer Vision. Experience withGenerative AIis a strong plus. 

• Strong problemsolving skillsand the ability to think critically when designing AIdriven solutions. 

• Handson experience withML model training finetuning deployment and monitoring. Experience withcloudbased solutions (AWS SageMaker and Bedrock) is a strong plus. 

• Proficiency inPythonand experience withML frameworkssuch as TensorFlow PyTorch or Hugging Face. 

• Experience working inagile/lean environments with a mindset for continuous learning and improvement. 

• Strong ownership curiosity and a drive to explore new AI technologies and methodologies. 

YOU MIGHT BE A GOOD FIT IF YOU 

• Enjoy working in anexperimentbased environment with a proactive approach to testing hypotheses analyzing results and sharing insights. 

Are comfortable communicating findings collaborating with crossfunctional teams and contributing to datadriven decisionmaking

OUR OFFER:

• A collaborative environment with colleagues from all over the world (Engineering offices in Europe Asia and US).  
• Ability to shape your own workday and career via a clearly defined professional and personal development plan. 
• Opportunity to work with senior leadership develop yourself and build your career within an inspiring and fastgrowing company and digital sports environment. 
• A vibrant and inclusive community including Women in Tech and Pride groups which welcome all participants. 
• A company culture that promotes social aspects sports physical exercise and fun.  
• Innovative andcrossteamchallenges likeShipIt office sports tournaments in Darts and Table Tennis and unique beer brewing competitions.  
• Competitive salary and benefits(e.g. retirement pensionandinsuranceplan)  

While we value the opportunities to work from home we truly believe that being together and sharing ideas opportunities trials and tribulations with teammates make us stronger and more innovative individually and as a company. We strengthen the fibers of our Company each and every day just by being together. For this reason we operate a hybrid model where we are in the office 3 days a week.  

The minimum monthly salary for this position is according to the Collective Bargaining Agreement overpayment will be considered depending on qualifications and working experience.  

We relocated to our office near the Nordbahnviertel (Praterstenr) in the 2nd district of Vienna in Q1/2024. Due to the top innercity location we are excellently connected to the public transport network and the cycle path network and are therefore very easy to reach. In addition we offer our employees a stateoftheart infrastructure near the center of the most livable city in the world.  

OUR RECRUITMENT PROCESS: 

• Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations. 
• Technical: Theoretical Interview: 60 minutes to discuss your technical skills on the theoretical level with the technical team.
• Technical: Coding Interview: 60 minutes of live coding where we do not access the end result but rather the candidates approach (clean code and thinking process).
• System Design Interview: 60 minutes to solve a highlevel problem with certain requirements.
• Final Steps: Receive final feedback while onsite visit might be requested and if successful an offer! 

We keep it simple and aim to wrap up the process within 3 weeks.

Additional Information :

At Sportradar we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs facilities and employment opportunities. All qualified applicants will receive consideration for employment without regard to age race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) we believe skills evolve over time. If youre willing to learn and grow with us we invite you to join our team!

Remote Work :

No

Employment Type :

Fulltime