What you'll do:

• Research machine learning algorithms and implement by tailoring to particular business needs.
• Work on training and identifying Products and Objects using Computer Vision.
• Provide analytical support to improve quality and standard work results.
• Deploy solutions involving Image processing.
• Pipeline deployment of Models and their ensembling.

What makes you a great fit:

• Have proficient knowledge of deep learning frameworks such as PyTorch, TensorFlow or Keras.
• Hands-on experience with Python and libraries like OpenCV and Pillow.
• Familiarity with object detection algorithms like FasterRCNN, Yolo, SSD.
• Knowledge of frameworks like Detectron2
• Working knowledge of how Neural Network works and various pre-trained models.
• Knowledge of models like XGBOOST.
• Experience in Model Conversion (ONNX).
• Expertise in visualizing and manipulating big datasets.
• Understanding of data structures, data modelling and software architecture.
• Experience in working on C++ is an added advantage
• Have delivered at least 2 Deep Learning projects.
• A self-learner and result-oriented individual with an ability to work in teams and help scale the teams.
• Have a delivery and client-oriented approach.
• Have good written and verbal communication skills.
• Have a problem-solving approach and can work independently.
• Have deep knowledge of math, probability, statistics and algorithms.
• Passion for continuing to learn state-of-the-art techniques in ML/Data science.