About Company
Are you ready to redefine what’s possible with visual data? Career.zycto is at the forefront of AI innovation, building intelligent systems that transform industries. We believe in empowering our engineers to push boundaries, fostering a collaborative environment where groundbreaking ideas in image recognition flourish. Join a team dedicated to unraveling complex visual challenges, developing cutting-edge algorithms, and deploying solutions that have a tangible impact. We’re a forward-thinking company where your expertise in computer vision will not just be valued but will drive our core product evolution. Come shape the future of perception AI with us.
Job Description
Are you an innovative Image Recognition Engineer with a passion for transforming complex visual data into actionable intelligence? Career.zycto is seeking a talented and driven individual to join our cutting-edge AI team in Dennistoun, Glasgow. We are at the forefront of developing next-generation computer vision solutions that empower various industries, from autonomous systems to advanced analytics. This is a unique opportunity to contribute to projects that push the boundaries of machine perception and deliver tangible, real-world impact.
As an Image Recognition Engineer, you will be instrumental in the entire lifecycle of our computer vision products, from initial research and algorithm design to deployment and continuous improvement. You’ll work with massive, diverse datasets, leveraging the latest advancements in deep learning to build robust and scalable image recognition models. Your role will involve diving deep into neural network architectures, fine-tuning hyperparameters, optimizing inference performance, and ensuring the high reliability and accuracy of our vision systems in real-world scenarios. We value curiosity, a meticulous approach to problem-solving, and a collaborative spirit that drives collective success.
You will collaborate closely with a diverse team of data scientists, machine learning engineers, and software developers, translating theoretical concepts into practical, deployable solutions. This includes participating in design reviews, contributing to our technical roadmap, and helping define best practices for model development and deployment. We encourage a culture of continuous learning and innovation, providing you with access to state-of-the-art tools, computational resources, and opportunities for professional development. If you thrive in a dynamic environment where your contributions directly shape product development and you are eager to tackle challenging problems in image understanding and analysis, Career.zycto is the place for you.
We are looking for someone who can not only write efficient, production-ready code but also possesses a strong theoretical foundation in computer vision and machine learning. Your expertise will help us develop sophisticated systems capable of advanced object detection, semantic segmentation, facial recognition, activity recognition, and beyond, addressing critical business needs across multiple sectors. You will be expected to stay abreast of the latest research trends and incorporate relevant findings into our product development. This role is perfect for an engineer who wants to leave a lasting mark on the future of AI-driven visual intelligence. Join us in Dennistoun and help us unlock the next generation of image recognition capabilities, making a significant impact on how technology understands the world around us.
Key Responsibilities
- Design, develop, and deploy advanced image recognition and computer vision algorithms.
- Research and implement state-of-the-art deep learning models for various perception tasks.
- Optimize existing algorithms for performance, scalability, and resource efficiency.
- Collaborate with data scientists, machine learning engineers, and software developers on cross-functional projects.
- Evaluate model accuracy and robustness, identifying areas for continuous improvement.
- Contribute to the architectural design and technical roadmap of our computer vision platform.
- Write clean, well-documented, and production-ready code.
- Stay informed about the latest academic and industry developments in AI and computer vision.
Required Skills
- Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch)
- Strong experience with computer vision libraries (OpenCV)
- Solid understanding of machine learning and deep learning principles (CNNs, RNNs, Transformers)
- Experience with object detection, image segmentation, and classification techniques
- Strong grasp of data structures, algorithms, and software engineering best practices
- Experience with cloud platforms (AWS, Azure, or GCP) for model training and deployment
- Excellent problem-solving, analytical, and communication skills
Preferred Qualifications
- Master's or PhD degree in Computer Science, Artificial Intelligence, or a related quantitative field
- Experience with MLOps practices and deploying models into production environments
- Familiarity with C++ for performance-critical components
- Contributions to open-source projects or academic publications in relevant fields (CVPR, ICCV, ECCV, NeurIPS)
- Experience with real-time video processing and embedded vision systems
Perks & Benefits
- Competitive salary and performance-based bonuses
- Comprehensive health, dental, and vision insurance coverage
- Generous paid time off and public holidays
- Budget for professional development, courses, and conferences
- Modern office space with collaborative zones and ergonomic workstations
- Complimentary healthy snacks, drinks, and regular team lunches
- Regular team-building events and social gatherings
- Opportunities for rapid career progression and skill development
- Flexible working hours within core team collaboration periods
How to Apply
Interested candidates are invited to click on the application link below to submit their resume and a cover letter detailing their experience and passion for image recognition technology. Please highlight any specific projects or contributions relevant to this role. We look forward to reviewing your application!
