In today’s rapidly evolving technology job market, machine learning (ML) and artificial intelligence (AI) skills are among the most in-demand and offer very high-paying opportunities. Technology giants such as Microsoft, Amazon, Google, and Meta are recruiting professionals with expertise in these areas and often offering generous compensation packages.
In this technology-driven landscape, Manoj Tum, a 23-year-old Indian-American machine learning software engineer, recently quit a well-paying job at Amazon and joined Mehta for a new role with packages valued at over $400,000 (Rs 3,360 crore), attracted by Mehta’s AI projects.
in an essay by business insiderTumu shared his insights and advice for young aspirants looking to build a career in AI and ML. He emphasized that a strong resume and relevant professional experience are more important than personal projects. He emphasized the importance of internships during university years, noting that practical experience increases knowledge and strengthens a candidate’s profile.
Mr. Tum also explained his approach to job searching. Rather than relying on referrals, he applied directly through company websites and LinkedIn, submitting a carefully tailored resume.
interview tips
According to Tumu, thorough preparation is key to interview success. Lack of preparation can be a major barrier for job seekers. He suggested customizing the answers to reflect the company’s values, as he did when preparing Amazon’s Leadership Principles and Meta’s Company Culture. His interview process at Meta included a screening call, followed by four to six rounds of coding, machine learning, and behavioral assessments over six weeks.
A career decision that paid off
Looking back on her early career, Tum admitted that although she didn’t get an internship, she did secure a contract role after graduating. When he couldn’t decide between traditional software engineering and machine learning, he chose a low-paying machine learning role that matched his interests. That choice ultimately opened the door to high-paying opportunities, he said, leading to his current position at Meta.
