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Careers at HealthSage AI
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ML Engineer

8 May 2024
Netherlands
Verified by Turrior

Content + Source + Freshness • 12 Dec 2025 • 95% confidence

80 / 100

Offer value

Medium value due to strong demand for ML skills in healthcare and the opportunity to work at the forefront of AI technology applications.

  • Work on cutting-edge healthcare AI solutions
  • Strong demand for expertise in ML and AI technologies
  • Opportunity to make significant impact in clinical settings
  • Requires advanced qualifications and experience
Pros
  • Opportunity to work in the growing field of healthcare AI
  • Significant contributions to real-world applications
  • Flexibility in work arrangements
Cons
  • High level of expertise required, potentially limiting candidate pool
  • Collaborative projects may involve complex stakeholder engagement
  • Less clarity around specific compensation details

Who it's for

Senior • Remote or hybrid options available

Good fit
  • Senior ML engineers with advanced degrees
  • Professionals eager to apply AI technologies to healthcare
  • Those looking to make impactful contributions to patient care
Not recommended for
  • Entry-level candidates without advanced qualifications
  • Individuals uninterested in healthcare applications of AI
  • Those preferring a conventional tech job structure

Motivation fit

Desire to innovate in healthcare through AIPassion for tackling complex technical projectsInterest in contributing to meaningful changes in patient care

Key skills

Machine learning experience with Python or C++Statistical analysis and problem-solvingCollaboration in multidisciplinary teamsCommunication of technical concepts to non-technical stakeholders
Score: 80/100 AI verified analysis

About the job

Qualifications

  • Master’s (with 3-5 years of experience) or Ph.D. degree in Computer Science, Engineering, Statistics, Applied Mathematics, or a related field with a focus on machine learning, artificial intelligence or related field.

  • Strong programming skills in languages such as Python, C++ , and proficiency in relevant libraries and frameworks for machine learning (PyTorch).

  • Previous experience working with LLM is highly desired.

  • Excellent problem-solving skills and the ability to work independently as well as collaboratively in multidisciplinary teams.

  • Strong communication skills with the ability to effectively communicate technical concepts to non-technical stakeholders, including clinicians and healthcare professionals.

  • Knowledge of MLOps or machine learning system design is optional but highly desired

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Turrior uses artificial intelligence to create job listings, automate candidate screening, conduct video interviews, and apply comprehensive AI scoring — helping companies hire faster, more accurately, and with lower operational costs.

Key benefits:

  • AI-powered job creation and structured job data
  • Intelligent candidate screening and automated shortlisting
  • Video interviews with AI-based answer analysis
  • Comprehensive AI scoring of skills, experience, and role fit
  • Recruitment process automation and reduced time-to-hire

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