AI/ML Engineer

This is a fully remote position, open to applicants in Europe.

📋 Description

• Create advanced models that tailor digital therapies to individual needs.

• Utilize real-world data from SaMDs to construct machine learning pipelines for predicting health risks.

• Develop scalable data pipelines for the training, testing, and deployment of models.

• Collaborate closely with engineering teams to integrate models into production SaMDs.

• Ensure that models comply with standards for explainability, reproducibility, and regulatory requirements.

• Assess generative AI tools for their potential in educational and coaching contexts.

⛳️ Requirements

• A minimum of 4 years of experience in ML/AI engineering, ideally with digital health datasets.

• Proficient in TensorFlow, PyTorch, scikit-learn, and MLOps pipelines.

• Strong expertise in Python, data manipulation, and processing real-world signals.

• Knowledge of clinical validation processes, bias mitigation strategies, and privacy-preserving machine learning practices.

🏝️ Benefits

• A remote-first work culture.

• Access to support from diverse teams dedicated to improving patient outcomes.

• Opportunities for collaboration with leading organizations in Pharma, MedTech, and academic research.