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Accountabilities:

  • Lead and develop a multidisciplinary team of ML Engineers, Data Scientists, Analysts, and Analytics Engineers.
  • Own and drive the team roadmap in partnership with engineering leadership and cross-functional stakeholders.
  • Support the development, evaluation, deployment, and continuous improvement of machine learning models.

Requirements:

  • Minimum of 2 years of experience leading ML, data science, or engineering teams.
  • 5+ years of professional experience in software engineering, machine learning, data science, or a related technical field.
  • Demonstrated experience leading teams that build and operate production ML systems.

Benefits:

  • Fully remote work environment with flexibility to work from your preferred location.
  • Opportunity to lead impactful projects in machine learning, fraud prevention, and digital security.
  • Strong focus on professional growth, learning, and career development.

Partner Company

The company specializes in online trust and security using AI and machine learning, focusing on fraud prevention and digital identity. The team is globally distributed and fosters collaboration, psychological safety, and technical excellence.

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