Computer vision engineer
4 weeks ago
Location : Dwarka, New Delhi
Employment Type : Full-Time
Experience Level : 3-5 Years
Job Summary :
We are seeking a highly skilled Computer Vision Engineer with expertise in real-time vehicle object detection and tracking systems. The ideal candidate will have 3-5 years of experience in developing and deploying computer vision solutions for applications such as autonomous vehicles, traffic monitoring, or smart transportation systems. You will leverage advanced computer vision and deep learning techniques to build robust, real-world solutions.
Key Responsibilities :
Vehicle Detection and Tracking :
Develop and optimize object detection models specifically for vehicles (e.g., YOLO, Faster R-CNN, SSD).
Implement real-time vehicle tracking algorithms for dynamic environments.
Real-Time System Development :
Design and implement real-time computer vision systems for traffic and vehicle analysis.
Optimize detection and tracking algorithms for low-latency and high-accuracy performance.
Model Training and Evaluation :
Train deep learning models on large-scale vehicle datasets (e.g., KITTI, COCO, custom datasets).
Evaluate and fine-tune models to ensure robustness in various lighting and weather conditions.
Integration and Deployment :
Integrate computer vision solutions into vehicle systems or infrastructure platforms.
Deploy models on edge devices (e.g., NVIDIA Jetson, Raspberry Pi) or cloud platforms for scalability.
Collaboration and Documentation :
Collaborate with cross-functional teams, including software developers and hardware engineers.
Document system architecture, model designs, and performance benchmarks.
Qualifications :
Education :
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
Technical Skills :
Strong proficiency in Python and C++ for computer vision and real-time application development.
Experience with deep learning frameworks (e.g., Tensor Flow, Py Torch).
Proficiency in vehicle-specific object detection models and CNN architectures.
Hands-on experience with real-time data streaming and processing.
Familiarity with deployment tools for edge devices (e.g., Tensor RT, Open VINO).
Other Skills :
Experience with GPU programming and parallel processing for performance optimization.
Proficient in version control (e.g., Git) and CI/CD pipelines.
Preferred :
Experience with embedded systems for automotive or Io T applications.
Knowledge of sensor fusion techniques, such as combining vision with Li DAR or radar.
Familiarity with automotive protocols and standards (e.g., CAN, ROS).
Soft Skills :
Strong problem-solving and analytical skills, with attention to detail.
Excellent communication and teamwork abilities.
Eagerness to stay updated on the latest advancements in computer vision and autonomous systems.
What We Offer :
Competitive salary and comprehensive benefits package.
Flexible work environment with hybrid options.
Opportunity to work on impactful, cutting-edge technologies in the automotive and smart transportation sector.
To Apply :
Please submit your resume and a cover letter detailing your experience in vehicle object detection to ( ).
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