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  3. Senior ML Engineer (Portugal Based Remote/Hybrid)
Sword logo

Senior ML Engineer (Portugal Based Remote/Hybrid)

Sword
Porto, Portugal
Full Time
Posted July 31, 2025
Not Specified
Apply Now

Application opens on company website

Job Description

A Senior Machine Learning Engineer responsible for developing and implementing AI solutions to advance healthcare services across various health domains, supporting the company's AI Care platform and remote healthcare initiatives.

Key Responsibilities

  • Develop and implement machine learning models for healthcare applications
  • Collaborate with cross-functional teams to integrate AI solutions into the platform
  • Optimize and maintain ML algorithms to improve performance and accuracy

Requirements

  • Candidates must possess a valid EU visa and be based in Portugal.
  • Proven experience as a Senior Machine Learning Engineer or similar role, demonstrating expertise in developing and deploying machine learning models at an advanced level.
  • Strong proficiency in programming languages commonly used in machine learning, such as Python, and experience with relevant ML frameworks and libraries.
  • Deep understanding of machine learning algorithms, model training, evaluation, and optimization techniques.
  • Experience working with large-scale data sets, data preprocessing, and feature engineering.
  • Ability to design, implement, and maintain scalable, reliable, and efficient machine learning systems.
  • Solid understanding of software engineering best practices, including version control, testing, and documentation.
  • Excellent problem-solving skills and the ability to work independently in a remote hybrid environment.
  • Strong communication skills in English, with the ability to collaborate effectively with cross-functional teams.
  • Educational background in Computer Science, Data Science, Artificial Intelligence, or a related field, or equivalent practical experience.

Benefits & Perks

Health, dental and vision insurance
Meal allowance
Equity shares
Remote work allowance
Flexible working hours
Work from home
Discretionary vacation
Snacks and beverages
English class

Ready to Apply?

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