Machine Learning Engineer (trainee)

Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming.
At least have an understanding of the following:
1. Understanding of data structures, data modeling and software architecture;
2. Deep knowledge of math, probability, statistics and algorithms;
3. Familiarity with machine learning libraries (NumPy, Spicy, Pandas);
4. Ability of wiritng code in Python;
5. Outstanding analytical and problem-solving skills;

To study and convert data science prototypes.
To design and develop Machine Learning systems and schemes.
To find available datasets online for training purposes.
To develop Machine Learning apps according to customer/client requirements.
To research, experiment with, and implement suitable ML algorithms and tools.
To explore and visualize data for better understanding and identify differences in data distribution that could impact model performance when deploying it in real-world scenarios.

Monday to Friday
10:00-19:00