Computer Vision Engineer
1 week ago
Company Description
Logiclens is a cutting-edge startup specializing in Advanced AI based Video Analytics solutions. Our innovative technology leverages CCTV cameras to capture real-time events of interest, providing businesses and organizations with unparalleled insight and security. With a focus on precision and efficiency, Logiclens empowers clients to enhance surveillance, streamline operations, and make data-driven decisions using state-of-the-art video analysis.
Role Description
We are looking for a talented
Senior Computer Vision Engineer
to lead the design and implementation of scalable, real-time computer vision systems. You will lead our AI engineering team to develop, deploy, and optimize computer vision models for various industry applications, including facial recognition, object detection, and video analytics.
Qualifications
· Proficiency in
Python (experience with C++ or Java is a plus)
· Strong experience in computer vision libraries and frameworks (e.g.,
OpenCV, YOLO, TensorFlow, PyTorch
)
· Solid understanding of deep learning architectures like
CNNs
,
RNNs
, and
Transformers
· Hands-on experience with image processing, video analytics, and
edge AI solutions
· Experience deploying models on edge devices (
NVIDIA Jetson, Raspberry Pi, etc.
) and
cloud platforms
· Familiarity with tools for data annotation and dataset management
· Familiarity with
APIs
,
Flask
, and containerization technologies like
Docker
· Exposure to
real-time surveillance systems
and video analytics is highly desirable
· Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field
· 3-5 years of proven experience in developing and deploying computer vision applications
Responsibilities
· Develop, train, and fine-tune
computer vision models
· Stay up-to-date with the latest advancements in
computer vision and deep learning technologies
· Implement scalable solutions on cloud platforms (AWS, Azure, GCP) and
edge devices
· Collaborate with hardware and software teams to integrate vision models into real-world applications
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