Data Scientist

Key Responsibilities
● Design and develop object detection & tracking architectures for real-time applications
● Build and maintain image recognition pipelines (data collection, preprocessing, training,
deployment)
● Train, evaluate, and optimize neural networks
● Develop tracking algorithms for UAV systems
● Conduct data analysis, model benchmarking, and performance profiling
● Collaborate with hardware and software teams to integrate models into embedded
platforms
● Document architecture, research, experiments, and model performance metrics

Required Skills

Machine Learning & Computer Vision
● Experience with TensorFlow (TFLite for edge deployment)
● MobileNet, YOLO, SSD, or similar lightweight architectures
● Model quantization and optimization for resource-constrained devices
● Familiarity with common CV tasks: classification, detection, segmentation, tracking
Signal Processing & Applied Math
● Kalman filters (EKF/UKF) and state estimation techniques
● Digital signal processing: FIR/IIR filtering, FFT, convolution
● Knowledge in linear algebra, probability, and statistics
Programming & Development
● Python (NumPy, Pandas, OpenCV, scikit-learn)
● C/C++ for performance-critical components
● Unit testing, integration testing, and CI/CD pipelines
● Version control (Git)
Embedded Systems
● Deploying ML models on Embedded Linux platforms
● Understanding of hardware constraints and real-time processing requirements

Nice to Have
● Experience with NXP i.MX8M Plus or similar edge AI accelerators
● Background in UAV/drone systems or robotics
● Experience with ONNX, TensorRT, or other inference optimization tools
● Familiarity with ROS or similar middleware frameworks
Education
● BSc/MSc in Computer Science, Data Science, Electrical Engineering, Applied
Mathematics, or a related field