SWORD Health

SWORD Health

SWORD Health provides AI-powered digital physical therapy solutions designed to prevent pain, support recovery, and enhance overall health, while also aiming to transform the rehabilitation industry through innovative technology and clinical oversight.

Health Care Providers & Services
251-1K
Founded 2015
$324M raised

Description

  • Contribute to designing, building, evaluating, shipping, and improving Sword’s products through hands-on AI/ML development.
  • Develop and maintain data processing pipelines to gather the data needed for model building and evaluation.
  • Work with Product, Data, and Engineering teams to define and implement AI/ML-powered features for internal and external users.
  • Share knowledge and experience on how to build and operate machine learning systems.
  • Help grow the AI/ML function by defining and promoting best practices.
  • Identify and lead initiatives to add AI/ML capabilities to Sword’s products while balancing uncertainty and time-to-value tradeoffs.
  • Provide technical oversight and mentor colleagues on AI/ML work.
  • Prioritize and solve issues in line with team direction and goals.

Requirements

  • 4+ years of professional experience in Machine Learning.
  • Hands-on experience implementing and maintaining production machine learning systems.
  • Strong experience in SQL and Python, plus experience developing production software.
  • Working knowledge of the Python data stack, including numpy, pandas, matplotlib, and scikit-learn.
  • Experience leading and owning complex, ambiguous projects from ideation through completion and maintenance.
  • Experience providing technical oversight and mentoring colleagues.
  • Ability to learn quickly and dive deep into new problems and fields.
  • Ability to communicate clearly with both technical and non-technical stakeholders.
  • Ability to communicate fluently and confidently in Greek at a native level.
  • Experience working in a fast-paced environment and wearing different hats (preferred).
  • Experience building data processing pipelines (preferred).
  • Experience shipping applications using LLMs and Generative AI (preferred).
  • Experience using cloud platforms such as GCP or AWS (preferred).

Interested in this position?

Apply directly on the company website

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