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Senior Machine Learning Engineer

DeepHealthCały światCały świat

Źródło:Himalayas
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano13 września 2026
Wykryte przez nas
Wykryte przez nas14 września 2026
Zarobki
ZarobkiDo uzgodnienia

DeepHealth is seeking a Senior Machine Learning Engineer to join our R&D team, where you will play a pivotal role in developing and refining clinical AI products. This hands-on position involves the full lifecycle of machine learning, from initial data experimentation and model architecture design to production deployment and performance optimization in a clinical setting.

Key responsibilities

  • Improve existing production models through systematic error analysis, targeted experiments, and iterative architecture refinements.
  • Develop models for new products, guiding them from initial formulation and feasibility studies through to final production integration.
  • Collaborate with clinicians and product teams to define robust evaluation criteria, ensuring clinical relevance and high performance.
  • Build reproducible training and evaluation pipelines, ensuring traceable datasets and consistent model versioning.
  • Partner with software engineers to optimize inference speed, resource utilization, and overall operational reliability.

Requirements

  • Bachelor's degree in computer science, engineering, mathematics, or equivalent practical experience.
  • 5+ years of hands-on experience in developing and delivering machine learning models to production.
  • Strong foundations in deep learning and computer vision, with practical experience in classification, detection, or segmentation.
  • Proficiency in Python and modern deep learning frameworks such as PyTorch.
  • Proven ability to work autonomously, design rigorous experiments, and communicate complex technical trade-offs effectively.

What we offer

  • The opportunity to work on impactful clinical AI products that improve patient outcomes.
  • A fully remote working environment that supports professional growth and technical excellence.
  • Collaboration with a multidisciplinary team of experts, including clinicians and software engineers.
  • Engagement with cutting-edge research and the chance to influence technical decisions in a regulated industry.

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