Computer Vision Engineer

Computer Vision Engineer Miejsce pracy: Toruń Technologies we use Expected Microsoft Azure AWS Git Azure DevOps About the project We are looking for a talented Computer Vision Engineer to join an exciting project in collaboration with our global client, a leader in molecular diagnostics and life sciences solutions. Our client is recognized worldwide for their innovative technologies in sample and assay preparation, empowering precision medicine and advanced research. In this role, you will help design and implement cutting-edge computer vision solutions that analyze complex image data at scale. If you enjoy transforming challenging problems into practical AI-driven solutions and thrive in a collaborative, international environment, we would love to hear from you. Apply now and shape the future of visual data analysis with us Your responsibilities Develop and implement classical and deep learning computer vision models to solve real-world problems using large-scale image datasets Design, maintain, and optimize data pipelines for image preprocessing, annotation, and large-scale dataset management Collaborate closely with cross-functional teams to define project requirements, present technical insights, and align solutions with business goals Take end-to-end ownership of computer vision projects, from prototyping to deployment, ensuring timely delivery and high-quality outcomes Research, evaluate, and integrate state-of-the-art techniques in image analysis, including CNNs, Transformers, data augmentation, and classical image processing methods Our requirements At least 4 years of experience in data science, computer vision, image processing, or a closely related field Strong proficiency in Python and experience with libraries such as PyTorch, TensorFlow, Keras, OpenCV, scikit-image, or JAX Solid understanding of classical computer vision (image registration, morphological operations, signal processing) and machine learning techniques (clustering, anomaly detection, statistical modeling) Experience with deep learning applied to images (CNNs, Transformers, data augmentation) and working with large-scale datasets, annotation pipelines, or ETL workflows Familiarity with cloud-based development (Azure or AWS), version control (Git), and project management tools (e.g., Azure DevOps) Strong communication skills and fluent English (B2/C1) for collaboration with technical and non-technical stakeholders Fluent Polish required Residing in Poland required What we offer Great Place to Work since 2015 - it’s thanks to feedback from our workers that we get this special title and constantly implement new ideas Employment stability - revenue of PLN 2.1BN, no debts, since 2006 on the market We share the profit with Workers - over PLN 76M has already been allocated for this aim since 2022 Attractive benefits package - private healthcare, benefits cafeteria platform, car discounts and more Comfortable workplace – class A offices or remote work Dozens of fascinating projects for prestigious brands from all over the world – you can change them thanks to Job Changer application PLN 1 000 000 per year for your ideas - with this amount, we support the passions and voluntary actions of our workers Investment in your growth – meetups, webinars, training platform and technology blog – you choose Fantastic atmosphere created by all Sii Power People Recruitment stages Send your CV Talk to us about your expectations Learn more about our projects and choose the best Start your adventure with Sii Sii Sp. z o.o. Sii is the leading technology consulting, digital transformation, engineering, and business services vendor in Poland. We already employ more than 7 300 professionals and implement projects in a variety of industries for clients from many countries around the world. The Great Place to Work title, won 10 times in a row, proves that at Sii, we create a friendly work environment. Sii ensures that all employment-related decisions are made solely on the basis of qualifications and competencies. We are committed to equal treatment of all individuals, regardless of any protected characteristics, and promoting a diverse and inclusive work environment.