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Machine Learning Engineer
3 months ago
Barrington James is seeking a highly skilled and experienced Machine Learning Engineer. Our client is a leading innovator in the field of human biosignal processing that are on a mission to unlock the power of human data and transform the way we interact with technology and empowering people to understand their health and performance better.ResponsibilitiesBuild cutting-edge machine learning and signal processing models (event detection, sequence-to-sequence, signal separation, time series regression) to unlock new possibilities for our neuromotor interfaces.Collaborate closely with engineers and our clients Human-Computer Interaction (HCI) team to translate scientific knowledge into real-world applications, creating intuitive and powerful user experiences.Develop robust research-grade code for deployment in research prototypes.RequirementsPhD in related field (e.g., Computer Science, Artificial intelligence, Machine learning, Signal Processing)5+ years of experience in Data Science, Machine Learning Engineering, or Data Engineering.Deep expertise in machine learning algorithms and techniques (e.g., deep learning, time series analysis, natural language processing).Strong understanding of signal processing fundamentals and their application to wearable sensor data.Proficiency in Python and machine learning frameworks (TensorFlow, PyTorch, Keras).Experience with cloud platforms (AWS, GCP, Azure) for ML model development and deployment.A track record of successfully bringing machine learning-based products from research to production.Strong academic and practical foundation in Data Science fundamentals (probability, statistics, optimization, etc.).
