Ajax Systems is an international technology company the largest developer and manufacturer of Ajax security systems with smart home capabilities in Europe. This ecosystem includes 180 devices mobile and desktop applications and server infrastructure. Every year we demonstrate exponential growth in both the size of the team and the number of users worldwide. Currently the company has more than 4100 employees. Ajax sensors protect 3.5 million users in more than 187 countries around the world.
We are seeking a highly skilled and visionary AI Tech Lead with expertise in Computer Vision and a strong focus on deploying AI solutions on edge devices. The ideal candidate will lead a team of engineers and researchers to design develop and implement cuttingedge AIpowered Computer Vision solutions that run efficiently on edge hardware. This role is pivotal in driving innovation and delivering scalable realtime AI applications for our business and clients.
Key Responsibilities:
Lead the development and deployment of Computer Vision models tailored for edge devices ensuring high performance and low latency.
Collaborate with crossfunctional teams including software engineers data scientists and product managers to define requirements and deliver robust AI solutions.
Research and stay uptodate with advancements in edge computing computer vision algorithms and AI frameworks to ensure our solutions remain cuttingedge.
Optimize machine learning models for inference on edge devices by leveraging techniques such as quantization pruning and knowledge distillation.
Mentor and guide a team of AI engineers and researchers fostering a culture of innovation and technical excellence.
Participate in strategic decisionmaking to align AI initiatives with business goals and objectives.
Experience:
Proven experience in computer vision with a focus on deploying solutions on edge devices.
Handson experience with frameworks such as TensorFlow Lite ONNX Runtime PyTorch Mobile or similar.
Strong understanding of edge AI hardware (e.g. NVIDIA Jetson Google Coral Qualcomm AI Engine) will be a plus
Expertise in optimizing deep learning models for low power and memoryconstrained environments.
Leadership Skills:
Demonstrated ability to lead and mentor technical teams.
Excellent problemsolving and decisionmaking skills.
Strong communication skills to convey complex technical concepts to nontechnical stakeholders.
With us you will enjoy:
Working with a team of people to build the future of an industry.
Nontrivial challenges and various specter of interesting tasks.
A flexible friendly and collaborative work environment.
Corporate culture based on common sense.
Opportunities to influence the creation of new products and their quality.
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