O pozici
Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.
We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.
In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.
Co budeš dělat
- developing AI algorithms for advanced cardiac medical imaging platforms,
- build, maintain, and optimize 3D segmentation, modeling, and measurement pipelines,
- design, train, validate, and improve deep learning models for medical imaging applications,
- work with complex medical imaging datasets, including CT, MRI, and echocardiography data,
- develop and optimize computational geometry algorithms for 3D anatomical modeling and analysis,
- process, analyze, and manipulate 3D meshes and volumetric imaging data,
- collaborate closely with product managers, software engineers, clinical experts, and regulatory teams,
- improve algorithm robustness, accuracy, scalability, and performance across different clinical scenarios,
- contribute to validation activities and support the preparation of evidence required for clinical and regulatory processes,
- participate in technical discussions related to AI, computer vision, image analysis, and medical software development,
- support continuous improvement of engineering standards, development practices, and quality processes,
- depending on seniority, take ownership of technical areas, drive technical decisions, and mentor less experienced team members,
Koho hledáme
- strong commercial experience in AI, machine learning, computer vision, or algorithm development roles,
- strong Python development skills with experience building production-grade software solutions,
- hands-on experience with deep learning frameworks and model development,
- strong understanding of computational geometry concepts and practical implementations,
- experience working with medical imaging technologies and healthcare datasets,
- practical experience processing and analyzing CT, MRI, echocardiography, or similar medical imaging modalities,
- strong experience with 3D data processing, segmentation, reconstruction, and mesh handling,
- experience optimizing and validating algorithms for accuracy, robustness, and performance,
- hands-on experience with PyTorch, NumPy, SciPy, VTK, or similar scientific computing and visualization libraries,
- strong analytical and problem-solving skills,
- ability to work effectively within multidisciplinary and international teams,
- excellent communication skills and ability to collaborate with both technical and non-technical stakeholders,
- experience working within Agile software development environments,
- strong attention to quality, reliability, and scientific rigor,
- Practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.
Benefity
- Nice to have:
experience with TypeScript development,
exposure to AWS cloud services and cloud-native development practices,
experience working within regulated healthcare or medical device environments,
familiarity with medical device development standards and healthcare regulatory requirements,
experience working with major medical imaging, healthcare technology, or medical device vendors,
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