𝗔𝗜 𝗮𝗻𝗱 𝗠𝗟 𝗖𝗮𝗿𝗲𝗲𝗿 𝗚𝘂𝗶𝗱𝗲 by Vaibhav Aggarwal

Referred Link - https://www.linkedin.com/posts/digitalprocessarchitect_%F0%9D%97%94%F0%9D%97%9C-%F0%9D%97%AE%F0%9D%97%BB%F0%9D%97%B1-%F0%9D%97%A0%F0%9D%97%9F-%F0%9D%97%96%F0%9D%97%AE%F0%9D%97%BF%F0%9D%97%B2%F0%9D%97%B2%F0%9D%97%BF-%F0%9D%97%9A%F0%9D%98%82%F0%9D%97%B6%F0%9D%97%B1%F0%9D%97%B2-activity-7288413041774252032-31O4

𝗔𝗜 𝗮𝗻𝗱 𝗠𝗟 𝗖𝗮𝗿𝗲𝗲𝗿 𝗚𝘂𝗶𝗱𝗲

𝟭. 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿:
Focuses on building AI models and systems, integrating them into applications for real-world use.

𝟮. 𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿:
Specializes in designing and implementing machine learning models and ensuring they work effectively in production.

𝟯. 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁:
Extracts insights from data through advanced analytics, machine learning, and statistical methods.

𝟰. 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿:
Develops and maintains data pipelines and architectures to support large-scale data processing.

𝟱. 𝗔𝗜 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁:
Conducts cutting-edge research to advance AI technologies, focusing on novel algorithms and methodologies.

𝟲. 𝗕𝗜 𝗔𝗻𝗮𝗹𝘆𝘀𝘁:
Analyzes data to provide business insights, helping organizations make data-driven decisions.

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