Responsibilities

• Design, develop, and implement machine learning models to improve healthcare delivery and outcomes.
• Collaborate with cross-functional teams to integrate AI solutions into clinical applications.
• Analyze complex datasets to derive actionable insights and enhance model performance.
• Continually optimize algorithms and processes for scalability and efficiency.
• Participate in the research and development of innovative AI technologies that support patient care.
• Mentor junior engineers and contribute to a culture of knowledge sharing and continuous improvement.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
• 5+ years of experience in machine learning, data analytics, or a similar role.
• Proficiency in programming languages such as Python, R, or Java, with a strong grasp of machine learning libraries and frameworks.
• Experience in deploying machine learning models in production environments.
• Solid understanding of statistical analysis and data modeling techniques.
• Excellent problem-solving skills and ability to work independently in a remote environment.
• Strong communication skills, with the ability to convey complex concepts to non-technical stakeholders.

Benefits

• Flexible working hours and the ability to work remotely from anywhere in Europe.
• Competitive salary and performance-based bonuses.
• Comprehensive health insurance and wellness programs.
• Opportunities for professional growth and development, including training and certifications.
• A dynamic and inclusive work culture that values innovation and collaboration.
• Access to cutting-edge technologies and tools to support your work.