Deep Learning Intern
7 days ago
**Requirements**
- Strong understanding of deep learning concepts and experience with popular deep learning frameworks such as PyTorch, TensorFlow, and Keras.
- Familiarity with image and video processing libraries such as OpenCV, scikit-image, and scikit-video.
- Experience with computer vision tasks such as object detection, segmentation, and tracking.
- Strong programming skills in Python and proficiency in using Jupyter Notebook or similar tools for prototyping and experimentation.
- Good understanding of machine learning concepts, such as supervised and unsupervised learning, and experience with popular machine learning libraries such as scikit-learn.
- Knowledge of data pre-processing, augmentation and management techniques, including working with large datasets.
- Strong analytical and problem-solving skills, with the ability to troubleshoot and debug deep learning models.
- Strong communication and collaboration skills and the ability to work well in a team environment.
- Good understanding of software development best practices and experience with version control systems such as Git.
- Familiarity with cloud-based platforms such as AWS, Google Cloud, or Azure for training and deploying deep learning models.
**Responsibilities**
- Implementing and testing deep learning models on video datasets to improve the accuracy and performance of the company's video analytics products.
- Collaborating with the team to design and implement experiments to evaluate the performance of deep learning models on different types of data.
- Analyzing and interpreting the results of experiments to identify opportunities for further improvement.
- Participating in code reviews and providing feedback to other team members to ensure the codebase is maintainable and scalable.
- Keeping up to date with the latest developments in deep learning and video analytics and sharing knowledge with the team.
- Participating in team meetings, providing progress updates, and discussing project goals and deliverables.
- Documenting and presenting research results and progress to the team and stakeholders.
- Participating in the deployment of deep learning models to production, and provide support for the models during the deployment process.
**Hiring Process**
- A quick chat with the product manager.
- A small project to understand your thinking process.
- An interview with the Deep Learning team.
- Final interview with the Director
**Job Type**: Internship
**Salary**: ₹15,000.00 - ₹30,000.00 per month
Schedule:
- Day shift
Ability to commute/relocate:
- Gurugram, Haryana: Reliably commute or planning to relocate before starting work (required)
**Experience**:
- total work (preferred)
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