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.
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