Machine Learning Engineer-Internship
Job Summary
Job Description
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
6 skills required
Job Details
- 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
- Knowledge on PyQt.
Benefits
- Stipend
- Internship certificate
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