Machine Learning Engineer

About the Role

We 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 software
• Improving internally maintained packages, SDKs, and services used by internal and external users
• Taking ownership of the full deployment lifecycle, from ideation and research to implementation and stakeholder approval
• Assisting in the research and development of novel machine learning models and algorithms for multivariate time series prediction

Requirements

• M.Sc. in Computer Science, Data Science, or a related field
• Strong understanding of machine learning concepts, particularly the combination of time series forecasting and differentiable systems
• Proficiency in programming languages such as Python or Julia
• Strong experience with machine learning libraries and frameworks such as PyTorch, scikit-learn, or JAX
• Experience with backend engineering, ideally using Go or Rust
• Excellent problem solving skills and strong attention to detail
• Strong written and verbal communication skills

We Offer

• Hybrid working environment with the ability to work remote in Italy or Portugal
• Ability to visit international offices, join customer visits, and attend international conferences
• Opportunity to spend 10% of your work hours on a work relevant personal research project
• Sharp learning and responsibility curve in a challenging and interdisciplinary environment
• Attractive working conditions and clear career progression