Data Scientists and ML Engineers: Valuable Assets in Companies #

Machine learning is considered the apex of the software hierarchy, requiring a strong technical foundation for success. Google’s research on hidden technical debt in machine learning systems highlights the importance of non-ML components. Data scientists and ML engineers are drawn to the field for its core elements, offering personal and professional growth opportunities. The fast-paced innovation in machine learning demands continuous learning and application of skills. Despite challenges, professionals are attracted to the field for intellectual satisfaction, lucrative salaries, and the potential to impact organizations strategically. Bootstrapping into practical machine learning involves tasks like data extraction, exploration, model development, and deployment. Real-world experiences in data science roles vary, with some emphasizing basic statistical methods over advanced machine learning skills. Understanding a company’s true engagement with machine learning versus its public portrayal is crucial for career development and setting realistic expectations. Hiring a data scientist can enhance a startup’s appeal, but balancing immediate benefits with long-term demands is essential for sustainable growth and innovation.

Source link

Source link: https://medium.com/@parvezshah.shaik/data-scientists-and-ml-engineers-are-luxury-employees-455b340a3672?source=rss——artificial_intelligence-5