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Ford Gen AI Data Scientist India, Tamil Nadu, Chennai 505306524
02.09.2024
- An MS/PhD in Computer Science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. PhD strongly preferred.
- Should have experience in feature engineering, hyper parameter tuning, model evaluation etc.
- Good exposure to machine learning/text mining tools and techniques such as Clustering/classification like SVM, Deep Learning networks like FRCNN, MRCNN, ResNet, FVRCNN, SalsaNext, NASnet, LSTM Reinforcement learning, and other numerical algorithms
- Should have experience in using Pandas/Numpy/ScikitLearn, Pytorch, Tensorflow, Keras, ROS, Gazebo, OpenJAUS
- Practical knowledge of automotive sensors like Camera, RADAR etc.
- Sound knowledge on the Driver assistance systems (feature functions like lane departure prevention, collision avoidance etc.)
- Strong theoretical knowledge of detection, segmentation, obstacle detection, graphical methods, probabilistic algorithms or optimization
- Hands on with visualization tools for sensors
- Knowledge in developing, calibrating and testing multi-sensor systems
- Applied knowledge of point cloud or Lidar based algorithms such as segmentation, localization, filtering
- Strong background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods, linear algebra, neural network under the hood details
- Familiarity with data science toolkit such as jupyter lab/notebooks, pandas, bash scripting, Linux environment
- Publications and presentations in recognized (CVPR, NIPS, ECCV, ICML) Machine Learning journals/conferences is a Big plus
- Familiarity with any one programming (e.g., C/C++/Java) or scripting (R/Python) languages
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