Data engineer - Machine learning

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) 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)