Data Scientist: – Collecting and cleaning data. – Performing statistical analysis and building models. – Creating data visualizations and communicating findings to stakeholders. – Understanding different business areas and domain knowledge. ML Engineer: – Implementing and optimizing machine learning algorithms. – Integrating models into production systems. – Monitoring and maintaining model performance. – Understanding software development principles and cloud platforms.
Data Scientist: – Strong analytical and statistical skills. – Programming skills in languages like Python and R. – Data visualization skills. – Communication and storytelling skills. – Domain knowledge in specific industries (optional). ML Engineer: – Strong programming skills in languages like Python, Java, and C++. – Knowledge of machine learning algorithms and frameworks. – Software engineering skills like version control and testing. – Cloud computing knowledge (AWS, Azure, GCP).
Data Scientist: Data analyst, data scientist, business intelligence analyst, research scientist. ML Engineer: ML engineer, AI engineer, data engineer, robotics engineer.
identical cloud