PbMachine Learning Engineer /b /ppbAbout the Role /b /ppWe 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: /pulliImplementing, deploying, and maintaining data transformation and model training pipelines in AutoML software /liliImproving internally maintained packages, SDKs, and services used by internal and external users /liliTaking ownership of the full deployment lifecycle, from ideation and research to implementation and stakeholder approval /liliAssisting in the research and development of novel machine learning models and algorithms for multivariate time series prediction /li /ulpbr/ppbRequirements /b /pulliM.Sc.
in Computer Science, Data Science, or a related field /liliStrong understanding of machine learning concepts, particularly the combination of time series forecasting and differentiable systems /liliProficiency in programming languages such as Python or Julia /liliStrong experience with machine learning libraries and frameworks such as PyTorch, scikit-learn, or JAX /liliExperience with backend engineering, ideally using Go or Rust /liliExcellent problem solving skills and strong attention to detail /liliStrong written and verbal communication skills /li /ulpbr/ppbWe Offer /b /pulliHybrid working environment with the ability to work remote in Italy or Portugal /liliAbility to visit international offices, join customer visits, and attend international conferences /liliOpportunity to spend 10% of your work hours on a work relevant personal research project /liliSharp learning and responsibility curve in a challenging and interdisciplinary environment /liliAttractive working conditions and clear career progression /li /ul