Machine Learning Engineer

About the Role

As a Computer Vision & Machine Learning Engineer at Datasee.AI, you’ll be core to the development of our robotic harvesting system’s visual intelligence. You’ll bring deep computer vision, machine learning, and software expertise while also thriving in a fast-paced, flexible, and energized startup environment. As an early team member, you’ll directly build our success, growth, and culture. You’ll hold a significant role and are excited to grow your role as Datasee.AI grows.

Responsibilities

• You will be working with the core R&D team which drives the computer vision and image processing development.
• Build deep learning model for our data and object detection on large scale images.
• Design and implement real-time algorithms for object detection, classification, tracking, and segmentation.
• Coordinate and communicate within computer vision, software, and hardware teams to design and execute commercial engineering solutions.
• Automate the workflow process between the fast-paced data delivery systems.

Requirements

• 1 to 3+ years of professional experience in computer vision and machine learning.
• Extensive use of Python.
• Experience in python libraries such as OpenCV, Tensorflow and Numpy.
• Familiarity with a deep learning library such as Keras and PyTorch.
• Worked on different CNN architectures such as FCN, R-CNN, Fast R-CNN and YOLO.
• Experienced in hyperparameter tuning, data augmentation, data wrangling, model optimization and model deployment.
• B.E./M.E/M.Sc. Computer Science/Engineering or relevant degree.
• Dockerization, AWS modules and Production level modelling.
• Basic knowledge of the Fundamentals of GIS would be added advantage.

Preferred Requirements

• Experience with Qt, Desktop application development, Desktop Automation.
• Knowledge on Satellite image processing, Geo-Information System, GDAL, Qgis and ArcGIS.