Develop object tracking models for flying objects using conventional Computer Vision Techniques.
Build Convolutional Neural Networks (CNN) for object detection models.
Design and implement end to end data lifecycle pipelines.
Handle edge devices like Jetson Xavier, nano etc.
Write optimized code for both low level and high level edge devices.
Detecting anomaly for structured data.
Support and automate the development of BI report creations.
Qualifications
Bachelors degree in computer science, computer engineering, or a similar field.
0-1 years of experience in related fields.
Technical Skills
Good knowledge of OpenCV, masking and object tracking using conventional computer vision(CV) techniques.
Experience in one of the machine learning frameworks such as Keras, Tensorflow, PyTorch.
Have a sound understanding of Data Analysis, Visualisation, and Data Processing methods using NumPy, Pandas, and Matplotlib.
Knowledge of machine learning algorithms such as Logistic Regression, SVM, Decision Trees, and Random Forests.
Practical and Theoretical knowledge of deep learning techniques such as Image Segmentation, Image Classification,
Pose Estimation, etc.
Good understanding of optimizing data processing pipelines.
Managing data, including creation, updation and deletion.
Validate data sanctity, perform cleaning and transform the data as needed to meet requirements.
Commissioning and decommissioning of data sets.
Role: Data Science & Machine Learning - Other
Industry Type: IT Services & Consulting
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning
Education
UG: Any Graduate
PG: Any Postgraduate
Doctorate: Doctorate Not Required
