Computer Vision Engineer

Responsibilities

• check_circle Provide technical guidance for the development of computer vision solutions.
• check_circle Implement state of the art machine learning algorithms.
• check_circle Design and develop robust computer vision algorithms for detection, classification and segmentation.
• check_circle Design and develop engineering solutions to meet project requirements.
• check_circle Conduct detailed analysis, testing, and validation of designs or systems.
• check_circle Provide technical guidance and contribute to problem-solving efforts.
• check_circle Collaborate with cross-functional teams to optimise performance and efficiency.
• check_circle Ensure compliance with industry regulations, standards, safety guidelines, GDPR compliance etc.
• check_circle Contribute to project planning, budgeting, and resource management.

Basic qualifications

• Extensive computer vision / machine learning knowledge gained in an engineering function.
• Strong understanding of classical computer vision techniques.
• Degree qualification within a suitable discipline, masters is a bonus.
• 3-5 years of professional engineering experience.
• Strong understanding of engineering principles, tools, and best practices.
• Experience working with relevant industry software, modelling, or simulation tools.
• Ability to manage project components independently and meet deadlines.
• Excellent analytical, troubleshooting, and decision-making skills.
• Experience working with popular machine learning frameworks.
• Experience using high performance deep learning models for image processing.
• Optimise models for embedded platforms / edge devices.
• Stay up-to-date with advancements in deep learning and computer vision to apply new techniques to products.
• Collaborate with stakeholders to understand business objectives, challenges, and identify opportunities where Computer Vision solutions can add value.
• Provide expert guidance and consulting services on computer vision strategy, implementation, and best practices, ensuring alignment with business goals and industry standards.
• Develop and implement scalable and efficient solutions to support algorithms and models, ensuring robustness, reliability, and performance optimisation.
• Design and develop machine learning solutions, both device embedded and cloud-based services on Cloud Providers like AWS, GCP, or Azure.
• Collaborate with cross-functional teams to implement machine learning models and algorithms and establish a training and learning strategy specific to DeterTech’s needs.
• Stay up to date with the latest trends and advancements in cloud-based and Computer Vision technologies.
• Take ownership of the implementation of the suggested solutions.
• Experience working with cloud-based platforms, preferably AWS, is favourable.
• Good coding skills gained using any of C, C++, C#, Java also favourable.

About the company