"When I started off as a software engineer, my dad, who also works in tech, kept telling me to get into AI. I brushed it offbecause I was just starting off my engineering career, and no one was really talking about AI in 2019, unless they were getting a PhD. Then in 2023, the tech industry changed and everyone started going into AI. That led me to want to start pursuing AI as a job, and alsocreating content about it."
"When trying to join an AI team, I think having a strong presence and personal brand is crucial for others to take you seriously. In my three years at Google, I've changed roles three times, most recently switching to the Workspace AI team. It's important to make a distinction between an AI machine learning engineer and an AI software engineer. An AI ML engineer creates the model, trains it, and evaluates it."
"My transition to an AI team didn't happen overnight. It required spending about a year upskilling through courses and creating content about the material, which forced me to learn the concepts. Here's how I made the switch: Creating content about AI In the spring of 2024, I started creating tech content on Instagram and LinkedIn, outside my job. That became a major factor in my transition to an AI team. Making content motivated me to keep learning and also made me c"
Maitri Mangal, a 26-year-old Google software engineer in New York, transitioned to an AI team after about a year of focused upskilling. She dedicated roughly two hours daily to learning, continued spending hours weekly, and completed courses while building solo projects to solidify concepts. She created tech content on Instagram and LinkedIn beginning in spring 2024, which accelerated learning and strengthened her personal brand. She distinguishes between AI machine-learning engineers who build and evaluate models and AI software engineers who integrate models into applications and build serving infrastructure. She changed roles three times in three years and now works on Workspace AI.
Read at Business Insider
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