Machine learning engineer
- Develop modelling code in close collaboration with modelling scientists and subject matter experts
- Train models and monitor performance, and develop analytics and experiments to improve the process
- Communicate about tasks and coordinate work with the team in an agile way
- Participate actively in code review (both as reviewer and reviewee)
- Present work regularly both within the team and to external stakeholders
- Study new libraries and technologies to evaluate dependencies and ensure continuous technical learning
- You hold a Bachelor's degree or Master's degree in computer science, electrical engineering, physics, math, statistics, information technology specialised within AI/ML or data and analytics, or similar
- You have 4-6 years' experience from a similar position in a large enterprise company. Experience from the pharmaceutical industry is preferred
- You have significant working experience with using the Python language, numpy, scikit-learn, PyTorch, and PySpark libraries
- You possess high proficiency in multiple AI/ML frameworks and techniques, data structures and algorithms
- You have experience in DevOps practices like CICD, containerisation, and testing
- Experience with managing cloud infrastructure is an advantage
- You are fluent in English both written and spoken
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