Computer Vision / Machine Learning Engineer

Key Responsibilities:

• Design and develop computer vision pipelines for object detection, segmentation, and multi-object tracking.
• Build and optimize deep learning models for real-time inference.
• Develop data annotation, validation, and dataset management pipelines.
• Perform model optimization, hyperparameter tuning, and performance benchmarking.
• Deploy AI models on embedded platforms such as NVIDIA Jetson.
• Optimize inference using TensorRT, CUDA, and mixed-precision techniques.
• Debug and improve perception pipelines for accuracy, latency, and reliability.
• Collaborate with software, robotics, and system integration teams.

Skillset:

• 3-5 years of experience in Computer Vision and Machine Learning.
• Strong knowledge of Python and/or C++.
• Hands-on experience with PyTorch or TensorFlow.
• Strong understanding of OpenCV, image processing, and deep learning.
• Experience with object detection, image segmentation, and tracking algorithms.
• Familiarity with CNNs, Vision Transformers, and model optimization techniques.
• Experience with NVIDIA Jetson, TensorRT, CUDA, or similar embedded AI frameworks.
• Understanding of stereo vision, depth estimation, and real-time AI deployment is an advantage.

Qualifications

• Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or a related field.
• Experience developing production-grade AI solutions for real-world applications.
• Strong debugging, analytical, and problem-solving skills.

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