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MECHINE LEARNING
Machine Learning models and are responsible to choose the latest technology frameworks to offer the best solutions to clients.
To automate predictive models and solve the modern-day business challenges, ML engineers research, build and design AI systems that are fully capable to run on their own.
Algorithm engineers are responsible for the design and integration of algorithms. Well-designed algorithms offer real-time solutions when installed into a software or computer.
Data engineers work in a variety of settings to build systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret.
The work of a data scientist involves the managing and processing of data, which is produced daily in the digital age. This data has never been clean, so they should clean it up.
Computer vision engineers apply computer vision and machine learning research to solve real-world problems.
Director of analytics manages a team of analysts, assigning schedules, and projects. Develop, implement, and disseminate metrics about quality, performance, and outcomes.
Statisticians analyze a variety of data to supplement the knowledge of professionals or businesses in the private or public sector.
Computer scientists also develop and validate mathematical models to enable person-computer and computer-computer interactions.
These professionals develop existing systems and processes through research and building knowledge in engineering.
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