Job Summary

Computer Vision Engineer

Key Responsibilities:

Work with the data science team to research, develop, and evaluate various computer vision
models for navigation, tracking, and localization purposes.
Optimize algorithms for real-time performance and resource-constrained environments,
considering factors such as memory usage, computational efficiency, and power consumption.
Stay updated on the latest advancements in computer vision, machine learning, and related fields.
Algorithm implementation and system integration within existing frameworks and system
Document test cases, expected results, test data requirements, and collaborate with testing
teams to resolve testing problems

Technical Skills:

Understanding of image processing techniques such as object detection, pattern finding, and
image segmentation.
In depth understanding of digital signal processing, frequency domain, various DSP filters, signal
processing architecture designs.
Familiarity with computer vision libraries, like OpenCV, and TensorFlow, for developing and
implementing vision-based models
Proficiency in Python and related packages like NumPy, scikit-image, PIL, OpenCV, matplotlib,
seaborn, etc.
Mathematical skills such as linear algebra, calculus, statistics, and probability for algorithm
development and data analysis
Knowledge of sensor fusion for integrating data from multiple sensors (IMU, Cameras, LiDAR, etc.)
to create comprehensive visual understanding systems.