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๐Ÿค–ML Engineer

AI/ML Engineer

Newelhealth ยท โ€”
// classified as
ML Engineer (Productionizing models, serving, MLOps.)
posted
1d ago
location
โ€”
languages
python
tools
โ€”
> stack
pythonpytorchtensorflow
> description

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.