Senior Machine Learning / Computer Vision Engineer

This is a remote position. For our Client, a US-based MedTech company, we are looking for a Senior Machine Learning / Computer Vision Engineer to join an AI-driven project focused on supporting the diagnosis and analysis of biological material. The project involves developing Computer Vision models capable of analyzing images of organic/biological material and identifying specific features and biomarkers relevant to medical examination. Requirements - Strong commercial experience in Computer Vision - we are looking for experienced Senior-level engineers. - Strong Python skills. - Solid Machine Learning background. - Hands-on experience with Computer Vision and image processing. - Experience with at least one major ML framework, such as PyTorch or TensorFlow. - Ability to independently approach technical problems and propose solutions. - Very good English - C1 or higher. - Strong communication skills and a proactive approach. - Ability to work effectively with a distributed international team. - Availability or openness to working approximately 12:00-20:00 Polish time, with some flexibility to adjust the schedule, to ensure sufficient overlap with teams based in Boston and San Francisco. Nice to have: - Experience in medical imaging. - Experience working with biological or microscopy images. - Previous experience in MedTech, healthcare, biotechnology, or life sciences. - Experience developing ML solutions for image-based diagnostic applications. - Experience working with highly specialized or scientific domains. Benefits - Private medical insurance - MultiSport card - Paid time off (PTO) included within the agreed rate range - Possibility to negotiate additional PTO depending on the agreed rate What you can expect: - Work on an AI/Computer Vision project in the MedTech domain. - Direct collaboration with an international US-based team. - High level of technical ownership and opportunity to influence the development of the solution. - Fully remote working model. Originally posted on Himalayas