Machine Learning Engineer

hace 2 semanas

Xico, México Bayer A tiempo completo

Machine Learning EngineerYour task and ResponsibilitiesLead scaling up activities transforming data science prototypes to industrialized end-to-end products by leveraging skills across a wide IT organization and involved operational business process domain experts.Perform complex simulation, optimization, modelling and machine learning research integrating multi-layered data models from internal and external sources.Collaborate with data scientists, IT product managers and business product owners in all areas of Product Supply like Production, Quality and Supply Chain teams to investigate planning and production behavior and develop data strategies to improve product performance and ultimately quality outcomes.Support global product / process owners and IT product managers in analyzing white-spots and business pain points creating opportunities for existing or new data products and cloud solutions to close the discovered gaps and enable new ways of working and decision making.Develop and train members of the multi-background team in Data Science topics.Act as a digital ambassador facilitating the adoption and absorption of digital and living by example the principles of agile product / project management incl AI and ML principles.Who you areBachelor's degree with at least eight years of experience or Master's degree with at least six years of experience or Ph.D. with at least three years of experience or comparable.Educational or applied experience in machine learning, statistics, applied mathematics, computer science, natural sciences, operations research or another related field.Industry experience or very strong academic records leading the delivery of groundbreaking machine learning / advanced analytics projects.Broad understanding and experience regarding software development best practices (agile methodology, version control, CI / CD, clean code, MLOps).Expert level knowledge in at least one of the following areas: Linear optimization, Bayesian deep learning, Probabilistic Graphical Network, Gaussian processes, MCMC, Reinforcement Learning and / or Deep Learning (RNN, GAN).Very good coding knowledge in Python and / or R.Proficiency with linear optimization frameworks or machine learning and deep learning frameworks such as TensorFlow.Experience with agile methodologies (e.G., SCRUM, DevOps).Experience in Pharmaceutical Product Supply process areas like Supply Chain Management, Manufacturing.Application Period14 al 28 de FebreroReferral and DetailsCódigo de referenciaDivisiónEnabling FunctionsUbicaciónMexico : Ciudad de México : Ciudad de MéxicoÁrea funcionalTecnología de la informaciónGrado de posiciónVS 1.1Tipo de empleoPermanenteTiempo de trabajoFull Time#J-*****-Ljbffr

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