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AI​/ML Engineer

Job in San Antonio, Bexar County, Texas, 78208, USA
Listing for: Newel Health Srl
Full Time position
Listed on 2026-10-09
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 90000 - 124000 USD Yearly USD 90000.00 124000.00 YEAR
Job Description & How to Apply Below

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 Tensor Flow, 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, Med Tech, 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.

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