AI/ML Engineer

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    "description": "<p><span style=\"font-weight: bold;\">AI/ML Engineer</span></p>\n<p><span>Location: Remote (Europe-based preferred)</span></p>\n<p><span>Type: Full-time</span></p>\n<p><span>Industry: Digital Health, SaMD, DTx</span></p>\n<p><span>Reports to: Head of Data Science</span></p>\n<p><br></p>\n<p><span style=\"font-weight: bold;\">Position Overview</span></p>\n<p><span>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.</span></p>\n<p><br></p>\n<p><span style=\"font-weight: bold;\">Key Responsibilities</span></p>\n<ul>\n<li><span>Design and train supervised and unsupervised learning models on longitudinal health data.</span></li>\n<li><span>Build scalable data pipelines for model training, testing, and deployment.</span></li>\n<li><span>Work closely with engineering to embed models into production SaMDs.</span></li>\n<li><span>Ensure models meet explainability, reproducibility, and regulatory standards.</span></li>\n<li><span>Evaluate generative AI tools for education and coaching applications.</span></li>\n</ul>\n<p><span style=\"font-weight: bold;\">Required Qualifications</span></p>\n<ul>\n<li><span>4+ years in ML/AI engineering, preferably with digital health datasets.</span></li>\n<li><span>Experience with TensorFlow, PyTorch, scikit-learn, and MLOps pipelines.</span></li>\n<li><span>Strong skills in Python, data wrangling, and real-world signal processing.</span></li>\n<li><span>Understanding of clinical validation, bias mitigation, and privacy-preserving ML.</span></li>\n</ul>\n<p><span style=\"font-weight: bold;\">Why Join Newel Health</span></p>\n<ul>\n<li><span>Shape the next generation of digital health solutions.</span></li>\n<li><span>Work in a certified SaMD environment at the forefront of behavioral science and AI.</span></li>\n<li><span>Collaborate with leading partners in Pharma, MedTech, and academic research.</span></li>\n<li><span>Enjoy a remote-first culture, supported by cross-disciplinary teams passionate about patient outcomes.</span></li>\n<li><span>Be part of an organization building scalable, evidence-based impact in chronic care management.</span></li>\n</ul>",
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