Machine Learning Engineer

We are looking for a Machine Learning Engineer for our teams in Portugal or Italy to support the ongoing development and production integration of our machine learning algorithms.

Key Responsibilities

• Implementing, deploying, and maintaining data transformation and model training pipelines in our 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
• Working closely with 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
• Assisting in the research and development of novel machine learning models and algorithms for multivariate time-series prediction in biopharma

Requirements

• M.Sc. in Computer Science, Data Science, or a related field
• Strong understanding of machine learning concepts and algorithms, in particular the combination of time-series forecasting and differentiable systems
• Proficiency in programming languages commonly used in data science, such as Python or Julia
• Strong experience with machine learning libraries and frameworks (e.g., PyTorch, scikit-learn, JAX)
• Experience with backend engineering, ideally using Go and/or Rust
• Excellent problem-solving skills and strong attention to detail
• Ability to work effectively in a team environment
• Strong written and verbal communication skills

We Offer

Integration into a young, dynamic, and interdisciplinary team of computationally driven chemical engineers, biotechnologists, and computer scientists. Hybrid work model, with flexibility between our main office in Lisbon and home office. A highly versatile role balancing advanced research, real-world industrial applications, and customer interaction. A steep learning curve, significant responsibility, and exposure to high-impact international projects. Opportunities for travel, conferences, and participation in company-wide community events. Attractive working conditions and clear opportunities for career progression.