Machine Learning Engineer
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About the job
As a Machine Learning Engineer, you will have the following responsibilities: - Experience with Big Data, Neural network (deep learning), and reinforcement learning - Ability to design machine learning systems - Research and implement appropriate ML algorithms and tools - Develop machine learning applications according to requirements - Select appropriate datasets and data representation methods - Run machine learning tests and experiments - Perform statistical analysis and fine-tuning using test results - Extend existing ML libraries and frameworks - Keep abreast of developments in the field - Understanding of data structures, data modeling and software architecture - Deep knowledge of math, probability, statistics and algorithms - Ability to write robust code in Python, Java and R - Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
Requirements
- Big Data
- Neural networks
- Deep learning
- Python
- Java
- R
- Keras
- PyTorch
- scikit-learn
Preferred Technologies
- Big Data
- Neural networks
- Deep learning
- Python
- Java
- R
- Keras
- PyTorch
- scikit-learn
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