Machine Learning and AI Specialist
Our team are building machine learning workflows, designing the overall technology solution..
Want to set your mark in our machine learning team?
This is a great opportunity to join a newly established applied machine learning team. The team is responsible for the development and operations of our critical vision, language and analytical machine learning based solutions. We are focused on the practical application of machine learning techniques to deliver product features and solve operational challenges. In collaboration with our cutting edge radar and vision based tracking technology, we are building products used by some of the best athletes in the world.
Our team are building machine learning workflows, designing the overall technology solution from data acquisition and readiness, model and technique selection, training and testing through to deployment and day to day operations. Example projects we are working on:
- Identifying athletes in real time using a combination of video and game data inputs
- Recognizing key gestures to classify player techniques and determine umpire or referee decisions
- Determine confidence intervals across a variety of possible play out comes where there is ambiguity
Are you our new colleague?
You have hands on experience setting up and running machine learning workflows in local and cloud environments. Your focus is on the practical outcome and value of the machine learning approach and this informs your model selection and evaluation process. You are comfortable moving between a variety of techniques and in particular have experience with vision processing.
Additionally, you have experience working closely with product owners using agile methodologies to capture expectations and designing solutions to meet their needs.
Requirements
- A technical education in computer science, machine learning or related engineering field
- Experience with principles of machine learning methods to inform ability to select and move across a variety of techniques as needed, experience with deep learning frameworks
- Experience planning, deploying and operating production machine learning models to cloud and edge locations
- Experience with computer vision
- Experience programming in Python
Join the home of a powerful sports brand and a one-of-a-kind technology
Our proprietary technology is based on expert knowledge about radar, computer vision, data and software engineering. Our solutions are developed by specialists who endlessly explore and challenge new technical boundaries. TrackMan’s blend of cutting-edge technology, sports and continued growth make our company an outstanding place to work. Our work culture is entrepreneurial, ambitious and rewarding as you get to collaborate with inspiring colleagues and interact with the leaders of golf, baseball and football. Based on a unique brand reputation, we are proud of working in close partnership with the top athletes, organizations and teams that rely on our technology to stay ahead of the race.
We are a Danish company founded, owned and managed since 2003 by three entrepreneurs with a strong passion for sports. Today, we have a global footprint with our headquarter located in Denmark (Vedbaek) and offices in New York, Phoenix, Poland and Tokyo. We are more than two hundred and fifty people worldwide, half of which work in Denmark where most hardware and software products are developed, tested and manufactured.
Where innovation happens
At TrackMan, we know that great people make great products. We believe that teams thrive and innovation sparks in an atmosphere where people are encouraged to think for themselves, where everybody’s voices are heard, and where the best ideas prevail in the pursuit of the exceptional solution. This mix is what makes TrackMan an inspiring company - for our customers and our colleagues.
Share our Passion!
For additional information about the position, please contact HR Manager Lene E. Olesen at +45 5151 0546. Applications are continuously assessed, so please send your application as soon as possible and not later than 21st of October.
If you got what is takes, apply today and join a company with great technologies, passionate colleagues, and great opportunities to grow.
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