Position – Data Scientist GAIT
As an Data Scientist – Computer Vision, you will join a team of professionals responsible for
development, optimization, and implementation of deep learning models to solve real world
problem and applications specifically related to Aviation and other domain. Your expertise in
Computer Vision will enable you to develop machine vision-based solutions to enhance airport
operation.
Key Responsibilities
∙ Experience in applying machine learning, computer vision, Neural Network, CNN,
RNN, LSTM and Gait Recognition techniques/principles to provide solutions for object
Classification, Detection, Recogintion, Segmentation for real world problems or use
cases.
∙ Demonstrated experience in data preparation, image augmentation, background
abstraction, designing, developing, training, validation and deploying neural networks
and other machine learning models in computer vision to solve real world problems.
∙ Expert in Python, Flask, NumPy, Pandas, NLTK, SciPy, TensorFlow, Keras, Pytorch,
Matplotlib, OpenCV and other open-source tools & technology.
∙ Experience in building Deep Learning, Machine Learning, Reinforcement Learning,
Statistical Model and fine-tuning model.
∙ Develop the model on image, videos, audio data for classification, detection,
recognition, and segmentation tasks using transformer and algorithm.
∙ Must have knowledge of accuracy, performance and confusion matrix, precision, recall,
f1-score, RUC, and deal with overfitting/underfitting problem etc.
∙ Exposure to build APIs for AI-ML model, MLOps, Automation
∙ Ability to stay updated with new AI/ML technologies and innovations.
∙ Experience in Software Development and Agile methodologies preferred.
∙ Excellent skills in developing Python in the Linux environment.
∙ Knowledge and good understanding of database such as MySQL and or PostgreSQL
Qualification and Skills Required
∙ Master’s degree in computer science/Information Technology with demonstrated
experience in AI-ML and computer vision.
∙ 3+ years of work experience in AI-ML.
∙ Work closely with the Innovation & Research Team.
∙ Must be excellent at Mathematics, statistical and probabilistic computations.
∙ Familiar with docker and must have knowledge of git.
∙ Comfortable on Linux based OS
