Machine Learning Engineer-Internship
3 weeks ago
- 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
Requirements
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
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