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Deploy and optimize models for edge environments (Jetson, Raspberry Pi, etc.) as well as cloud systems.

Research & Innovation

Stay updated with state-of-the-art methods in computer vision, deep learning, and robotics-related AI.

Experiment with novel techniques to improve the accuracy, efficiency, and robustness of vision models.

Cross-Disciplinary AI Applications

Occasionally design and implement AI models for non-vision data (e.g., sensor data, tabular data, time-series, NLP-based tasks).

Integrate multimodal AI approaches combining vision and non-vision data for enhanced decision-making.

Data Management & Evaluation

Collect, curate, and annotate datasets for AI model training and validation.

Implement data augmentation, preprocessing, and synthetic data generation pipelines.

Define and monitor key performance metrics for deployed AI systems.

Collaboration

Work closely with engineers from different disciplines to integrate AI models into production systems.

Document models, pipelines, and findings for reproducibility and knowledge sharing.

Strong background in deep learning frameworks (e.g., PyTorch, TensorFlow).
Proven hands-on experience with object detection and tracking models (e.g., YOLO-based frameworks).
Experience in SLAM and real-time computer vision applications.
Expertise in building end-to-end AI pipelines, including preprocessing, training, validation, and deployment.
Experience with real-time inference on edge and GPU platforms.
Solid understanding of machine learning concepts, probability, and optimization.
Proficiency in Python and scientific computing libraries (e.g., NumPy, OpenCV, SciPy, scikit-learn).
Experience in training, fine-tuning, quantizing, and deploying models on edge devices (e.g., Jetson, Raspberry Pi, etc.) and GPUs.

Knowledge of 3D vision techniques (stereo vision, depth sensing, LiDAR fusion).
Exposure to non-vision AI applications such as NLP or time-series forecasting.
Strong problem-solving skills and ability to work in fast-paced R&D environments.

PythonCloudNumPySciPyTensorFlowPyTorchscikit-learnAINLPComputer VisionDeep Learning