Position – Data Scientist

Job location – New Delhi

As a 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 and computer vision techniques/principles to provide solutions for object Classification, Detection, Recognition, Segmentation for real world problems or use cases.

∙ Demonstrated experience in data preparation, 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, 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 /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.