This internship for Machine Learning Engineers focuses on computer vision, neural networks, and optimization techniques. You'll prototype, develop, and experiment with these techniques using large real-world image data. Strong Python programming skills and knowledge of ML/DL frameworks like TensorFlow, Keras, and PyTorch are essential.
Must have:
Computer Vision
Neural Networks
Python Programming
ML/DL Frameworks
Good to have:
PyQt
Optimization Techniques
Machine Learning
Spacy, Scikitlearn
Perks:
Internship Certificate
Stipend
Not hearing back from companies?
Unlock the secrets to a successful job application and accelerate your journey to your next opportunity.
Prototype, develop and experiment with computer vision techniques and explore a variety of approaches
Understand product requirements and translate them into engineering goals and tasks
Explore new methods to leverage a large data-set of spontaneous real-world visual & image data
Build systems for an end-to-end production-grade stack with low latency and high throughput
Design, implement and optimize algorithms to run on edge devices
Requirements
Knowledge about computer vision, neural networks, optimization techniques and machine learning algorithms
Responsible for building the ML/DL model according the specified requirements
Strong knowledge in python programming
Strong knowledge on ML/DL frameworks like TensorFlow, Keras, PYTorch, Spacy, Scikit learn