Designing, coding, testing, and debugging software applications and systems based on defined requirements.
Developing and training machine learning models using frameworks like PyTorch.
Designing and implementing data processing pipelines to handle and preprocess data efficiently.
Developing software applications and systems. By writing codes, create APIs, and build scalable, robust, and maintainable software solutions. working with programming languages such as Python, Java, or C++.
Identifying and resolving software defects, bugs, and other technical issues to ensure they function correctly and deliver accurate results.
Identify performance bottlenecks and optimize algorithms and implementations to improve system efficiency and responsiveness.
Communicate effectively to understand requirements, share progress, and address challenges collectively.
Stay updated with the latest research, techniques, and tools.
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