ML Engineer

An ML Engineer’s primary goal is the creation of machine learning libraries and models. You will be responsible for the following:

1. Designing Machine Learning systems.
2. You can identify the architecture required to create a deep learning system to solve complex problems.
3. Researching and implementing machine learning algorithms and machine learning tools from scratch.
4. Selecting appropriate data sets to validate our libraries.
5. Picking appropriate data representation methods.
6. Identifying differences in data distribution that affects model performance.
7. Transforming and converting data science prototypes.
8. Running machine learning tests.
9. Using results to improve models.
10. Training and retraining systems when needed.
11. Extending machine learning libraries, working at a low level, and replacing critical components.
12. Developing machine learning apps according to product requirements.