Job Description

AI/ML Engineer

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Location: Remote (Europe-based preferred)

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Type: Full time

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Industry: Digital Health, SaMD, DTx

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Reports to: Head of Data Science

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Position Overview

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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.

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Key Responsibilities

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Design and train supervised and unsupervised learning models on longitudinal health data.
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Build scalable data pipelines for model training, testing, and deployment.
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Work closely with engineering to embed models into production SaMDs.
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Ensure models meet explainability, reproducibility, and regulatory standards.
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Evaluate generative AI tools for education and coaching applications.
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Required Qualifications

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4+ years in ML/AI engineering, preferably with digital health datasets.
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Experience with TensorFlow, PyTorch, scikit-learn, and MLOps pipelines.
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Robust skills in Python, data wrangling, and real-world signal processing.
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Understanding of clinical validation, bias mitigation, and privacy-preserving ML.
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Why Join Newel Health

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Shape the next generation of digital health solutions.
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Work in a certified SaMD setting at the forefront of behavioral science and AI.
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Collaborate with leading partners in Pharma, MedTech, and academic research.
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Enjoy a remote-first culture, supported by cross-disciplinary teams passionate about patient outcomes.
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Be part of an organization building scalable, evidence-based impact in chronic care management.
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