Machine Learning Engineer-Internship
About the job
Job Description
- Computer Vision
- Neural Networks
- Python Programming
- ML/DL Frameworks
- PyQt
- Optimization Techniques
- Machine Learning
- Spacy, Scikitlearn
- Internship Certificate
- Stipend
- 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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