Computer vision specialist
Synteda AB · Göteborg · Tills vidare · Deadline 2026-12-14
Synteda AB is seeking a **Computer Vision Specialist** to contribute to cutting-edge products and platforms. Working within a specialized team that collaborates closely with Swedish universities and diverse industry clients, the role focuses on designing, implementing, and optimizing advanced computer vision and artificial intelligence algorithms. Key responsibilities include conducting data research and modeling, training, testing, and evaluating models, working with depth sensors, enforcing intellectual property protection, and collaborating across cross-functional teams using **agile methodologies**. Applicants must hold a **bachelor’s, master’s, or Ph.D. degree** in computer science or a related field. Required qualifications include hands-on experience with computer vision algorithms, image processing, OpenCV or similar libraries, and depth sensors, alongside solid experience in predictive, prescriptive, and general data analytics. Candidates must possess programming skills across languages such as Python, C#, C/C++, Spark, or Java/Scala, familiarity with frameworks like PyTorch and Scikit-Learn, and knowledge of scientific computing tools like MATLAB or R. Fluent spoken and written English is mandatory, while proficiency in Swedish is an advantage.
Join our team and help shape the future of technology by contributing to cutting-edge products and platforms.
About us
Synteda AB specializes in helping companies effectively embrace the era of artificial intelligence and computer vision. By delivering innovative solutions, we empower businesses to take full advantage of the vast possibilities presented by these cutting-edge technologies. We firmly believe in the potential of AI and computer vision to benefit society, and we’re committed to leveraging our expertise to facilitate businesses in their journey towards this exciting new era. Our close collaboration with top universities in Sweden enables us to work with clients across a broad range of industry fields.
We’re actively engaged in developing several unique products and solutions, using a work process that we call “dream-innovate-create.” This approach involves subjecting our ideas to rigorous scrutiny and feasibility testing, using agile methodologies to refine our solutions until we’ve achieved a full-scale product.
We’re proud to have a core team of highly qualified experts who excel at providing assessment services to identify business challenges and develop customized algorithms to overcome them. We’re guided by our commitment to ethical awareness, curiosity, transparency, respect, participation and science.
What are we looking for?
We are looking for a highly skilled and motivated Computer Vision Specialist to join our team. The successful candidate will be responsible for developing and implementing state-of-the-art computer vision solutions that will drive innovation and growth in our organization.
Responsibilities
- Design and implement algorithms for innovative products and platforms.
- Develop advanced computer vision and AI techniques.
- Design, implement, and optimize AI algorithms.
- Innovate and enforce intellectual property rights (IPR) protection.
- Validate, analyze, and evaluate models.
- Perform research, analysis, and modeling on data.
- Train, validate, and test algorithms.
- Collaborate with cross-functional team members.
Required skills
- Bachelor’s, Master’s, or Ph.D. degree in Computer Science or a related field.
- Programming experience in a combination of Python, C#, C/C++, Spark, Java/Scala.
- Knowledge of scientific computing languages such as MATLAB or R.
- Solid experience with data analytics, predictive, and prescriptive data.
- Familiarity with frameworks like PyTorch, Scikit-Learn, and others.
- Hands-on experience with computer vision algorithms.
- Experience with OpenCV and other computer vision libraries.
- Experience working with depth sensors.
- Strong knowledge of analytics and image processing.
- Familiarity with agile development methodologies.
- Fluency in English, both spoken and written, is required.
- Proficiency in Swedish is a plus.