Data Scientist - Digital Health Machine Learning [Spw286]

Design, develop, test, deploy and maintain ML infrastructure.Optimize model training infrastructure, pipelines, and model/dataset versioning.Perform model training, hyper parameter tuning.Release ML or statistical models into production using APIs or on-device inference.Monitor model performance and manage continuous learning pipelines.Set up multimodal data pipelines for ingesting and processing text, audio, images, and streaming events.Collaborate in a multidisciplinary environment with world leading clinicians, data scientists, biological experts, statisticians and IT professionals.EssentialBachelor's Degree in a quantitative field (computer science, mathematics, statistics, etc.) with industry experience with machine learning infrastructure or a combination of data science/ML experience and Dev Ops experience.Extensive experience with programming in Python and experience working with Pytorch and Tensorflow.Research or industry experience in Artificial Intelligence, Machine Learning (ML) models, ML infrastructure, Natural Language Processing, Computer Vision or Deep Learning.Experience with SQL and NoSQL databases (PostgreSQL, MongoDB, KSQL, etc.)AWS or other cloud compute experience including SysOps.Experience with ML pipeline orchestration and monitoring (bespoke or with tools such as Apache Airflow or Snowflake).Residence: Barcelona
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