Machine Learning EngineerAbout the RoleWe are looking for a Machine Learning Engineer to support the ongoing development and production integration of machine learning algorithms.
You will work within a multidisciplinary team of software engineers and data scientists to introduce the latest research in digital bioprocessing into software deployed at leading pharmaceutical companies worldwide.
Key responsibilities include:Implementing, deploying, and maintaining data transformation and model training pipelines in AutoML softwareImproving internally maintained packages, SDKs, and services used by internal and external usersTaking ownership of the full deployment lifecycle, from ideation and research to implementation and stakeholder approvalAssisting in the research and development of novel machine learning models and algorithms for multivariate time series predictionRequirementsM.Sc.
in Computer Science, Data Science, or a related fieldStrong understanding of machine learning concepts, particularly the combination of time series forecasting and differentiable systemsProficiency in programming languages such as Python or JuliaStrong experience with machine learning libraries and frameworks such as PyTorch, scikit-learn, or JAXExperience with backend engineering, ideally using Go or RustExcellent problem solving skills and strong attention to detailStrong written and verbal communication skillsWe OfferHybrid working environment with the ability to work remote in Italy or PortugalAbility to visit international offices, join customer visits, and attend international conferencesOpportunity to spend 10% of your work hours on a work relevant personal research projectSharp learning and responsibility curve in a challenging and interdisciplinary environmentAttractive working conditions and clear career progression