Computer Vision Engineer

Here at Ailytics, we’re building AI solutions to envision a safer world. By combining computer vision and predictive analytics, we enable organizations to proactively identify risks, optimize processes, and ultimately save lives. Our platforms are currently deployed all over the world, covering more than 300 million square meters!  

As a Computer Vision Engineer, you’ll be using your technical expertise to solve complex and real world business challenges. This role will involve the full spectrum of the use case lifecycle; from conceptualization to execution, focusing on the optimization of the solution for both on-prem and cloud deployments.

What You Will Be Doing

• You’ll be taking comprehensive responsibility for the development of our computer vision pipelines, from ideation and building to deployment and refinement. 
• Ensure optimization and scalability of our computer vision pipelines with a focus on both local and cloud-based applications.
• Engage in thorough benchmarking activities to assess and enhance the accuracy of latest computer vision breakthroughs.  
• Proactively identify and resolve software bugs, ensuring a smooth and efficient deployment process.
• Work collaboratively with cross-functional tech and operational teams to develop comprehensive solutions.

Our Ideal Requirements

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field / equivalent experience.
• 3+ years of experience with Computer Vision, particularly with model development and enhancement. Experience with object detection, imagine segmentation classification, and pose estimation are highly valued.
• Strong background in deep learning frameworks (PyTorch, TensorFlow). Proficiency with Python and image processing libraries is a must.
• Demonstrated expertise in developing and implementing computer vision pipelines, understanding visual data processing and algorithms.
• Data Pipeline Management: Curate, refine, and maintain specialized datasets. Oversee annotation projects and ensure data integrity for model training and validation.
• Effectively manage multiple concurrent projects while ensuring consistent delivery.
• Solid understanding of data structures, algorithms, and software design principles.
• Hands-on experience with model optimization.
• Experience with Deepstream/Gstreamer/Edge optimised libraries is a plus.
• Excellent communication abilities and demonstrated ability to produce high-quality research outcomes, working effectively both independently and as part of a team.

Why Work At Ailytics?

• This is an opportunity to create lasting impact and explore the intersection of AI and safety.
• We’re a start-up that’s still in its early stages. If you’re looking for an environment where you can really make an impact, this is it.
• We value strong standards, high transparency, and low ego. Let us know if this sounds like you.

Hey you, check out our other openings here!