Data Scientist / Machine Learning Engineer
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Want to be a part of how machine learning is impacting sports?
This is a great opportunity to join a newly established applied data science and 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 computer vision based tracking technology, we are building products used by some of the best athletes in the world.
Our team is 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:
Responsibilities
Your profile
You have hands on experience using data science modelling techniques to answer questions from the business as well as experience setting up and running machine learning pipelines in local and cloud environments. You are comfortable moving between a variety of techniques. Your focus is on the practical outcome and value of the machine learning approach and this informs your modelling development and evaluation process. You understand that there are trade-offs to be made when deploying models in production.
This is a great opportunity to join a newly established applied data science and 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 computer vision based tracking technology, we are building products used by some of the best athletes in the world.
Our team is 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
- Predicting player movement and possibilities for game strategy and entertainment use cases
- Determine confidence intervals across a variety of possible play out comes where there is ambiguity
Responsibilities
- Interfacing with business, operations and other development teams to gather and refine requirements
- Working with our Data Engineers to acquire and prepare working data sets
- Perform initial data cleaning, statistical analysis and mining
- Identify and perform model selection, feature engineering and hyperparameter tuning
- Develop evaluation approach, what to optimize and overall workflow, run experiments
- Systems engineering for ML pipeline design and production deployment in compute constrained environments
Your profile
You have hands on experience using data science modelling techniques to answer questions from the business as well as experience setting up and running machine learning pipelines in local and cloud environments. You are comfortable moving between a variety of techniques. Your focus is on the practical outcome and value of the machine learning approach and this informs your modelling development and evaluation process. You understand that there are trade-offs to be made when deploying models in production.
Information og data
Denne ledige stilling har jobtypen "IT-chef", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i Vedbæk.
Jobbet er oprettet på vores service den 18.2.2021, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- IT-chef
- Vedbæk
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