Company Description
We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.
Job Description
Senior Software Engineer
Interested in Artificial Intelligence, Computer Vision, Deep Learning and other modern technologies? Then the Automated Content team within Sportradar is the right fit for you. We are enhancing the sports experience for fans, athletes, and teams across the globe through world-class AI solutions and are committed to advancing the state of the art of Sport through continuous innovation with a specialized and distributed team focused on research and development in areas such as computer vision, machine learning, deep learning, data science and beyond. We are on a mission to automate sports content creation - the data and video – that feeds products and services we deliver to our partners. The possibilities to revolutionize the world of sport are vast, and we are only at the beginning of our journey.
Our cutting-edge technologies will revolutionize the way individuals interact with and participate in sports. Our objective is to create innovative hardware and software solutions leading to automated viewing experiences, real-time statistics, and event forecasting. By doing so, we are enhancing the lives of coaches, athletes, and fans by developing products that cater to their evolving needs and requirements, as well as enabling an experience where people can engage with sport in new and meaningful ways.
We seek a talented Senior Software Engineer to join the Systems Squad: a diverse, highly skilled, and enthusiastic squad part of the broader Automated Content Tribe.
About the role
As a Senior Software Engineer, you will play a key role in designing, developing, and maintaining software solutions that empower the Computer Vision Squads (also part of the Automated Content Tribe) to more easily and reliably train, evaluate and deploy complex computer vision and AI systems in production. You will develop software solutions for these systems, including databases, APIs, tools, and services. You will use your software engineering expertise to propose and implement software solutions, based on requirements, that will help the team deliver quickly and efficiently.
Responsibilities
- Design, build, test, deploy and maintain backend services for our computer vision applications, including data processing pipelines, machine learning model training infrastructure, and API endpoints
- Participate in analyzing business requirements and designing new functionalities, breaking down complex and abstract requirements into smaller concrete components that will help the team deliver quickly and efficiently
- Research new technologies and methodologies to address technical issues
- Contribute to the continuous improvement of existing software solutions
The challenge
- Design, build, test, deploy and maintain services hosted in the cloud, that are part of a larger system
- Improve the reliability and efficiency of our stack
- Help reducing the time-to-market of our computer vision solutions
- Write clean, scalable, documented, and understandable code
- Participate in code review processes
- Build reusable code libraries
- Design, implement, and extend APIs
Your skills
- Strong proficiency in Python
- Strong experience in managing larger projects from their conception to their maturity
- Expertise in CI/CD pipelines for software release lifecycle
- Experience with ML-related frameworks (numpy, opencv, pandas)
- Solid knowledge of containerization technologies and processes
- Excellent communication skills
- Ability to work independently and as part of a team
- Strong organizational and problem-solving skills
Nice to have
- Experience with other languages, like C/C++;
- Experience with frameworks for web APIs (Flask, FastAPI, ...), API specifications (OpenAPI, gRPC)
- Familiarity of Cloud Service Providers (especially AWS)
- Experience with databases (relational and non-relational)
- Knowledge of lifecycle of ML/DL applications
Qualifications
Additional Information
Sportradar is an Equal Opportunity Employer. We are committed to encourage diversity within our teams. All qualified applicants will receive consideration without regard to among other things, your background, status, or personal preferences
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