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To excel in their role, machine learning engineers must understand the fundamentals of computer science and programming including the use of Python, Java, R and C++. They need to be proficient in probability, statistics, data modeling and evaluation, deep learning, machine learning algorithms, software engineering and system design. The job requires excellent communication skills, the ability to work as a team and strong analytical knowledge.
Machine learning is relatively new and is part of data science. Judging by the lucrative salaries data science jobs attract and the opportunity to work with innovative technology that will shape the future, a career in machine learning is interesting and fulfilling.
Machine learning is within the broader data science industry. Data scientists and machine learning engineers work together on projects and they may even switch roles. Knowledge of data science can give you an edge as it covers more functions in the bigger data processing life cycle.