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 [link removed] 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