AI/ML Engineer

AI/ML Engineer

Location: Remote (Europe-based preferred)
Type: Full-time
Industry: Digital Health, SaMD, DTx
Reports to: Head of Data Science
Position Overview

Newel Health is looking for an AI/ML Engineer to develop intelligent models that personalize digital therapies. You will work with real-world data from our SaMDs to design machine learning pipelines that predict health risks, optimize interventions, and enable adaptive care pathways on our H.Core platform.
Key Responsibilities

- Design and train supervised and unsupervised learning models on longitudinal health data.

- Build scalable data pipelines for model training, testing, and deployment.

- Work closely with engineering to embed models into production SaMDs.

- Ensure models meet explainability, reproducibility, and regulatory standards.

- Evaluate generative AI tools for education and coaching applications.

Required Qualifications

- 4+ years in ML/AI engineering, preferably with digital health datasets.

- Experience with TensorFlow, PyTorch, scikit-learn, and MLOps pipelines.

- Strong skills in Python, data wrangling, and real-world signal processing.

- Understanding of clinical validation, bias mitigation, and privacy-preserving ML.

Why Join Newel Health

- Shape the next generation of digital health solutions.

- Work in a certified SaMD environment at the forefront of behavioral science and AI.

- Collaborate with leading partners in Pharma, MedTech, and academic research.

- Enjoy a remote-first culture, supported by cross-disciplinary teams passionate about patient outcomes.

- Be part of an organization building scalable, evidence-based impact in chronic care management.

Originally posted on Himalayas