AI/ML Engineer

Newel Health Srl; United States; Remote; USD 90,000 - 124,000; Full time

Job summary

Newel Health Srl is seeking an AI/ML Engineer to develop intelligent models that personalize digital therapies on the H.Core platform. You will work with real-world data from SaMDs to design pipelines that predict health risks, optimize interventions, and enable adaptive care.

This full-time, remote-first role offers collaboration with cross-disciplinary teams in digital health, Pharma, and academia. You will ensure model explainability, reproducibility, and regulatory alignment while evaluating

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.

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.

Skills

Python

Data wrangling

Real-world signal processing

Explainability

Bias mitigation

Tools

TensorFlow

PyTorch

scikit-learn

MLOps pipelines

Job 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.