What is the difference between a Data Scientist and an ML Engineer for recruitment purposes?

When recruiting, this distinction is critical. If your goal is business intelligence and finding patterns in data, you need a Data Scientist strong in statistics, SQL, and data visualization. If your goal is to integrate a real-time recommendation engine into your product, you need an ML Engineer with strong software engineering fundamentals, CI/CD experience, and containerization skills. We help our clients properly define these roles before beginning the search to ensure we target the right talent pool.

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