Were looking for an AI Algorithms Manager to lead the development of advanced algorithms in the telehealth domain, with a direct impact on how care is delivered and experienced.
In this role, youll lead a team of algorithm developers, drive algorithmic work end-to-end, from problem definition and data exploration to model development, evaluation, and integration into real-world systems. The work focuses on developing AI capabilities in computer vision, signal processing and LLM domains to tackle complex challenges and turn them into reliable, production-ready solutions.
Key Responsibilities:
Lead algorithmic development end-to-end- from shaping the technical problem and defining data needs to development, architecture, validation, and implementation
Drive innovation and infrastructure initiatives to advance the solution in alignment with the latest scientific progress
Stay hands-on in research and development, actively contributing to core algorithms and solving complex technical challenges
Design, develop, and optimize models using machine learning, computer vision, and signal processing techniques
Guide the work of team members, providing technical directions, feedback, and support
Collaborate with cross-functional teams (engineering, product, clinical) during problem definition, solution design and smooth integration into production systems
Ensure robustness and reliability through proper evaluation, validation, and continuous improvement of models
Promote best practices in development, experimentation, and code quality
In this role, youll lead a team of algorithm developers, drive algorithmic work end-to-end, from problem definition and data exploration to model development, evaluation, and integration into real-world systems. The work focuses on developing AI capabilities in computer vision, signal processing and LLM domains to tackle complex challenges and turn them into reliable, production-ready solutions.
Key Responsibilities:
Lead algorithmic development end-to-end- from shaping the technical problem and defining data needs to development, architecture, validation, and implementation
Drive innovation and infrastructure initiatives to advance the solution in alignment with the latest scientific progress
Stay hands-on in research and development, actively contributing to core algorithms and solving complex technical challenges
Design, develop, and optimize models using machine learning, computer vision, and signal processing techniques
Guide the work of team members, providing technical directions, feedback, and support
Collaborate with cross-functional teams (engineering, product, clinical) during problem definition, solution design and smooth integration into production systems
Ensure robustness and reliability through proper evaluation, validation, and continuous improvement of models
Promote best practices in development, experimentation, and code quality
Requirements:
MSc or PhD in Computer Science, Electrical Engineering, Physics, or a related field
7+ years of experience developing algorithms or applying machine learning to real-world problems
3+ years of experience leading \ managing team members
Strong hands-on experience in machine learning and deep learning
Proven experience in computer vision and/or signal processing
Experience with ML frameworks such as PyTorch, TensorFlow/Keras, or similar
Solid understanding of taking models from research to production
Strong problem-solving skills and ability to approach open-ended challenges
Excellent communication and collaboration skills
Experience in digital health / medical devices (an advantage)
Experience working with physiological or clinical data (an advantage)
MSc or PhD in Computer Science, Electrical Engineering, Physics, or a related field
7+ years of experience developing algorithms or applying machine learning to real-world problems
3+ years of experience leading \ managing team members
Strong hands-on experience in machine learning and deep learning
Proven experience in computer vision and/or signal processing
Experience with ML frameworks such as PyTorch, TensorFlow/Keras, or similar
Solid understanding of taking models from research to production
Strong problem-solving skills and ability to approach open-ended challenges
Excellent communication and collaboration skills
Experience in digital health / medical devices (an advantage)
Experience working with physiological or clinical data (an advantage)
This position is open to all candidates.
