Machine Learning Engineering Work From Home Internship

Selected intern's day-to-day responsibilities include:

1. Consulting with managers to determine and refine the tasks and objectives
2. Designing machine learning systems and self-running artificial intelligence (AI) and computer vision software
3. Creating high-quality software and code which can be reused easily and built upon.
4. Transforming data science prototypes and applying appropriate ML algorithms and tools
5. Ensuring that algorithms generate accurate user-oriented results
6. Solving complex problems with deep models while optimizing existing machine learning libraries and frameworks
7. Developing ML algorithms to analyze huge volumes of historical data to make predictions
8. Running tests, performing statistical analysis, interpreting the test results, evaluating models, and ensuring production requirements are met (e.g., latency requirements, runtime environments, etc.)
9. Documenting all software as clearly as possible
10. Staying up-to-date with the developments in machine learning, deep learning, and computer vision, specifically object detection
11. Working on being proficient in python and libraries like PyTorch and TensorFlow.

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