Job Title: AI/ML Engineer

Company Name: Newel Health

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/yfvcu827k8zttjl6

Job Description: Posted 10mo agoAI/ML Engineer@ Newel HealthView All JobsWebsiteUnited StatesRemoteFull TimeResponsibilities:design models, build pipelines, embed modelsRequirements Summary:4+ years ML/AI engineering with digital health data; experience with TensorFlow, PyTorch, scikit-learn and MLOps; strong Python and data wrangling; knowledge of clinical validation and privacy.Technical Tools Mentioned:TensorFlow, PyTorch, scikit-learn, MLOps, Python
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.