Senior Machine Learning Engineer - MedTech SME | Hybrid in Berlin | 3-4 stage process | €90-120k per annum
I am currently partnered with a leading MedTech company developing innovative solutions using cutting-edge machine learning (ML) technologies. They are seeking a talented and experienced Machine Learning Engineer to join our growing team and play a key role in shaping the future of medical care.
Responsibilities:
- Design, develop, and deploy robust ML models for real-world medical applications.
- Collaborate with medical professionals, data scientists, and software engineers to ensure models meet clinical needs and regulatory requirements.
- Work with large and complex medical datasets, ensuring data quality and adherence to data privacy regulations (GDPR).
- Develop and implement machine learning pipelines following best practices and adhering to ISO quality standards.
- Continuously monitor and evaluate model performance, identify areas for improvement, and iterate on models.
- Stay up-to-date on the latest advancements in ML and actively research new applications within the medical field.
- Document your work clearly and concisely for both technical and non-technical audiences.
Qualifications:
- Master's degree in Computer Science, Engineering, or a related field.
- Minimum 3 years of experience working as a Machine Learning Engineer, MUST have experience working in MedTech or Healthcare.
- Proven experience in designing, developing, and deploying production-ready ML models.
- Strong understanding of machine learning algorithms (e.g., supervised learning, unsupervised learning, deep learning).
- Experience working with large and complex datasets, including data cleaning, pre-processing, and feature engineering.
- Familiarity with medical terminology and a strong understanding of the importance of data privacy in healthcare (GDPR).
- Experience working with ISO quality standards in a development environment (a plus).
- Excellent programming skills in Python (including libraries like TensorFlow, PyTorch, scikit-learn).
- Strong communication, collaboration, and problem-solving skills.
- Ability to work independently and as part of a cross-functional team.
Benefits:
- Competitive salary and benefits package.
- Opportunity to work on cutting-edge projects that directly impact patient lives.
- Collaborative and dynamic work environment with a focus on innovation.
- Be part of a team that is passionate about making a difference in healthcare.
My client is committed to using machine learning to improve healthcare outcomes for patients worldwide. They offer a unique opportunity to work alongside talented professionals from diverse backgrounds and make a real impact on the world.
If this role is of interest please apply with your CV and contact information or alternatively reach out via LinkedIn.