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Remote, Hybrid (UK)
Sep 6, 2024
Machine Learning Ops Lead
Active
Description
Design, develop, and implement machine learning models and pipelines using Azure Machine Learning. Collaborate with data scientists and software engineers to integrate AI capabilities into the Athlea platform.
Why this role
You will play a key role in deploying and continuously enhancing AI models for advanced sports analytics.
You may be a good fit if
'-You have 3+ years of experience in machine learning engineering - You're proficient in Python and familiar with ML frameworks like PyTorch, TensorFlow, or scikit-learn - You have hands-on experience with Azure Machine Learning services - You're skilled in developing and deploying ML models for both batch and real-time inference - You have experience with MLOps practices and tools - You're familiar with distributed training techniques and hyperparameter optimization - You're proficient in building models that integrate visual, sensor, and performance data for sports analytics, i.e using computer vision tools for biomechanics and posture recognition.
It is a big plus if
- You have experience applying ML to sports science or biomechanics data - You've worked on projects involving automated ML or AutoML - You have experience with Azure integrations like Azure Synapse Analytics or Azure Arc - You're familiar with fairness and explainability in AI models - You have experience with R or .NET in ML contexts - You've contributed to open-source ML projects - You have an understanding sports-specific data (e.g., biomechanics, posture) and its application to performance tracking.
