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News18
a day ago
- Business
- News18
These Are The Top 8 Highest-Paying AI Jobs You Should Know About
Last Updated: AI is creating lucrative career paths, with top roles offering crores in salaries. Here's a look at the highest-paying AI jobs and the qualifications needed to land them Artificial Intelligence (AI) is rapidly reshaping the global job market, emerging as a major driver of innovation and high-paying employment opportunities. From India's tech hubs like Gurugram and Bengaluru to international centres such as Silicon Valley, London, and Tokyo, demand is soaring for professionals skilled in machine learning, data science, and robotics. With tech giants like Google, Amazon, and OpenAI offering lucrative salary packages, AI expertise is now among the most sought-after career paths worldwide. Job roles like machine learning engineer, AI research scientist and product manager in AI demand high technological skills, understanding of programming (Python, R) and math. These jobs are revolutionising areas like chatbots, autonomous vehicles and data analytics. In India, the salary ranges from Rs 6 lakh to Rs 40 lakh per year, while globally it ranges from $65,000 to $900,000. It is being claimed that many big companies are also offering packages of more than Rs 2,000 crore. Who's Offering Rs 2,000-Crore AI Packages? Some media reports have claimed that AI experts are being offered salaries of up to $300 million (about Rs 2,550 crore). This is more than the net worth of Bollywood actor Akshay Kumar (Rs 2,500 crore). This claim is being made mainly by big tech companies like Meta, Google and OpenAI. Meta reportedly offered a package of $200 million (about Rs 1,600 crore) to Apple's former foundation model head Ruoming Pang and Rs 800 crore to OpenAI's Trapit Bansal. Those seeking opportunities in AI can explore which roles offer the highest salaries and the qualifications required for them. 1. AI Product Manager Job Role: Develop and launch AI-based products. Act as a bridge between users and technical team. Create product strategy, analyze market requirements and manage the project lifecycle. Qualification: Bachelor or Master's degree in Computer Science, Data Science or related field. Basic understanding of programming (Python, Java) and AI technology. Strong leadership, communication and strategic thinking abilities. 3-5 years of product management or related experience. Jobs: Bangalore, Mumbai, Hyderabad, Delhi-NCR in India (Companies: Google, Amazon, Microsoft, Flipkart). Silicon Valley (US), London (UK), Toronto (Canada), Singapore abroad. Salary Range: Rs 20 lakh to Rs 40 lakh per annum in India. $142,644 to $300,000-$900,000 per annum abroad (Netflix recently offered salaries in this range). 2. Machine Learning Engineer Job Role: Design, develop and lead machine learning models. Collaborate with data scientists and software engineers. Analyse large datasets and build predictive models. Qualification: Bachelor/Master degree in Computer Science, Mathematics or Engineering. Expertise in programming (Python, R, Java) and knowledge of frameworks like TensorFlow, PyTorch, Scikit-learn. Strong grasp in Mathematics and Statistics. 3-5 years of experience in machine learning or related field. Jobs: Bangalore (Silicon Valley of India), Chennai, Hyderabad in India (Companies: Amazon, Flipkart, Reliance Jio, Infosys). Global: San Francisco, New York, Boston, Shanghai. Salary Range: Rs 8 lakh to Rs 29 lakh per year in India. Global (US): $109,143 to $200,000+ per year. 3. AI Research Scientist Job Role: Develop new AI algorithms and models. Work with academic institutions and research labs. Publish research papers and present at conferences. Qualification: PhD in computer science, mathematics or related field. Expertise in machine learning, deep learning and statistics. Proficiency in programming (Python, R) and research methods. Salary Range: Rs 10 lakh to Rs 25 lakh per year in India. Global (US): $115,000 to $440,000+ per year (range $295,000-$440,000 in OpenAI). 4. Computer Vision Engineer Job Role: Build systems that understand and categorize images and videos. Work in autonomous vehicles, robotics, and augmented reality. Implement image processing and recognition models. Qualification: Bachelor/Master degree in Computer Science or Engineering. Expertise in programming (Python, C++) and computer vision libraries (OpenCV). Deep understanding of machine learning and neural networks. Job Locations: Bengaluru, Pune, Hyderabad in India (Companies: InData Labs, Ola, Tata). Global: Silicon Valley, Tokyo, Munich (Tesla, Waymo, Google). Salary Range: Rs 8 lakh to Rs 20 lakh per annum in India. Global (US): $130,531 to $168,803 per annum. 5. Natural Language Processing (NLP) Engineer Job Role: Developing chatbots, voice assistants and speech recognition systems. Using machine learning and NLP tools to understand and process human language. Qualification: Degree in Computer Science, Computational Linguistics or related field. Expertise in programming (Python) and NLP tools (NLTK, SpaCy). Understanding of linguistics and statistics. Job Locations: Bengaluru, Chennai, Delhi in India (Companies: Amazon, Accenture, TCS). Global: San Francisco, New York, Singapore. Salary Range: Rs 7 lakh to Rs 18 lakh per annum in India. Global (US): $86,193 to $150,000+ per annum. 6. Data Scientist Job Role: Analyzing large datasets to provide insights for business. Using machine learning and statistical models. Qualification: Master's degree in data science, statistics or mathematics. Expert in programming (Python, R), data visualization tools (Tableau, Power BI) and big data technologies (Hadoop, Spark). 2-4 years of experience. Job Locations: Bengaluru, Mumbai, Gurgaon in India (companies: IBM, Google, JP Morgan). Global: Silicon Valley, London, Sydney. Salary Range: Rs 6 lakh to Rs 15 lakh per annum in India. Global (US): $65,674 to $155,000 per annum. 7. Big Data Engineer Job Role: Creating data infrastructure for data storage and processing. Using tools like Hadoop, Spark to process large datasets. Work with data scientists and analysts. Qualification: Bachelor/Master degree in computer science or data engineering. Experience in programming (Python, Java) and data management. Knowledge of distributed systems and cloud platforms (AWS, Azure). Job Locations: Bengaluru, Pune, Chennai in India (companies: TCS, Wipro, Infosys). Global: Silicon Valley, New York, Berlin. Salary Range: Rs 8 lakh to Rs 20 lakh per annum in India. Global (US): $123,089 to $227,000 per annum. 8. Robotics Engineer Job Role: Designing and prototyping AI-powered robots. Working on sensor data processing, path planning, and human-robot interaction. Qualification: Degree in robotics, mechanical engineering, or computer science. Knowledge of machine learning, CAD/CAM, and IoT. 2-5 years of experience. top videos View all Job Locations: Bengaluru, Pune, Delhi in India (companies: Amazon, Bosch, Flybase). Global: Boston, Tokyo, Munich (Tesla, General Motors). Salary Range: Rs 8 lakh to Rs 27 lakh per annum in India. Global (US): $150,000 to $160,000 per annum. Stay updated with the latest education! Get real-time updates on board exam results 2025, entrance exams such as JEE Mains, Advanced, NEET, and more. Find out top schools, colleges, courses and more. Also Download the News18 App to stay updated! tags : ai jobs artificial intelligence career. salary view comments Location : New Delhi, India, India First Published: July 21, 2025, 18:32 IST News education-career These Are The Top 8 Highest-Paying AI Jobs You Should Know About Disclaimer: Comments reflect users' views, not News18's. Please keep discussions respectful and constructive. Abusive, defamatory, or illegal comments will be removed. 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Yahoo
5 days ago
- Business
- Yahoo
Meta Poaches Apple's Top AI Exec: Where Does This Leave Apple Intelligence?
Meta has been hunting for top AI talent over the past few months, and its latest target is Ruoming Pang, the leader of Apple's 100-person foundation models team. Meta CEO Mark Zuckerberg offered Pang a pay package worth tens of millions of dollars, according to Bloomberg. In recent weeks, Zuckerberg has been using this tactic to poach AI talent from Meta's main rivals, including OpenAI, Anthropic, and Google. Meta also named Alexandr Wang, co-founder of ScaleAI, as its new chief AI officer. The new hires are all joining Meta's superintelligence group, which aims to create an AI that is smarter and more capable than humans, according to The New York Times. Pang is a tech industry veteran who joined Apple from Alphabet in 2021. With his departure, Zhifeng Chen will now run Apple's foundation models team. Apple's overall AI strategy falls under Craig Federighi, Apple's SVP of software engineering, and Mike Rockwell, who took over the Siri team in March. It's unclear how Pang's departure will affect the company's AI product roadmap. The foundation models that Pang oversaw are the engine behind Apple Intelligence. At WWDC, the company open-sourced them for developers for the first time, but the company seems unsatisfied with their performance for its own products. It's now reportedly considering using models from Anthropic or OpenAI for the new Siri. Will Pang's departure speed up that process? Apple CEO Tim Cook is probably not happy right now. OpenAI CEO Sam Altman certainly wasn't pleased when Meta pillaged its payroll a few weeks ago. Both companies are likely scrambling to stop the brain drain to cash-flush Meta and retain their talent. "I feel a visceral feeling right now, as if someone has broken into our home and stolen something," OpenAI chief research officer Mark Chen wrote in a memo to employees on June 28, Wired reports. "We're recalibrating comp, and we're scoping out creative ways to recognize and reward top talent." OpenAI also recently boosted its security to protect its IP from its Chinese rivals. It added fingerprint scans, enhanced vetting of staff, and hired military experts to protect important data, The Financial Times reports.
NDTV
5 days ago
- Business
- NDTV
Rs 2,400 Crore For Two AI Engineers: What Meta's Hiring Spree Means
In a high-stakes talent war that has Silicon Valley abuzz, Meta Platforms is making aggressive moves to secure the world's leading AI researchers, with a significant focus on tech pioneers. Meta Platforms has unveiled massive compensation packages - Rs 800 crore (approximately $100 million) for Trapit Bansal and Rs 1,600 crore (around $200 million) for Ruoming Pang - as part of its new Superintelligence Labs, aiming to rival peers like OpenAI, Google DeepMind, Apple, and Anthropic. Who Are These AI Stars? Trapit Bansal A graduate of IIT Kanpur, Trapit Bansal joined OpenAI in 2022 and made significant contributions to its reinforcement learning efforts and early AI reasoning models. TechCrunch described him as "a highly influential OpenAI researcher." There, he played a crucial role in developing OpenAI's "O-series" reasoning models, particularly the foundational "O1" model, working closely with co-founder Ilya Sutskever. Earlier this month, he confirmed on X (formerly Twitter): "Thrilled to be joining Meta! Superintelligence is now in sight". Thrilled to be joining @Meta! Superintelligence is now in sight 🚀 — Trapit Bansal (@TrapitBansal) June 30, 2025 Ruoming Pang Previously, the head of Apple's Foundation Models team, Ruoming Pang, was responsible for leading the development of Apple's advanced AI systems. He departed Apple in early July to join Meta's newly launched Superintelligence Labs, marking a major blow to Apple's AI division. Why Meta's Big Bet? 1. Elite talent war: Meta is aggressively combating fierce competition for top-tier AI researchers, offering record-breaking compensation that far exceeds even the salaries of some global CEOs. 2. Unified AI strategy: The Superintelligence Labs aim to consolidate Meta's fragmented AI teams under a centralised vision for developing artificial general intelligence (AGI) and eventually surpassing it. 3. Building future infrastructure: These hires align with Meta's rollout of massive AI compute assets, including its "Prometheus" supercluster expected online by 2026 and temporary mega-data-centres, signalling a long-term investment in AI leadership. What Lies Ahead Key architects: Bansal and Pang, along with Alexandr Wang, Nat Friedman, Daniel Gross and other hires (e.g., from OpenAI, DeepMind and Anthropic), will spearhead core AI research. Unified Direction: Superintelligence Labs aims to integrate Meta's scattered AI efforts under a cohesive long-term AGI roadmap.
Yahoo
15-07-2025
- Business
- Yahoo
Zuckerberg Shells Out Lavishly for Superintelligence Super Team
A million-dollar pay package isn't cool. You know what's cool? A $200 million pay package. That's the amount of money Meta paid to coax Ruoming Pang, one of Apple's top AI execs, into leaving the Cupertino, California, hardware company high and dry last week. It's just Planet Zuck's latest high-profile poach as it builds its 'superintelligence' super team. But just how super is superintelligence anyway? READ ALSO: Bitcoin Tops $120,000 With Congress Poised to Consider Key Crypto Bills and Inflation Data and Bank Earnings Kick Off a Crucial Test for Markets The AI industry loves to create semi-vague buzzwords to serve as all-important goals and thresholds, and why not? It's quite useful to give investors only a blurry vision of what's on the other side of those billions and billions of dollars spent. If artificial general intelligence (AGI) remains the industry Holy Grail — the godlike hyper-intelligent entity that will solve all the world's problems and/or destroy all of humanity using just a fraction of its available RAM — then super-intelligence is the somewhat more achievable step somewhere midway up the robotic evolutionary ladder. Key word: somewhere, as even industry insiders don't quite agree on what the buzzword means. Definitions range from 'something that can at least match human capability in the sorts of cognitive tasks that people can typically do,' as Google DeepMind chief AGI scientist Shane Legg recently told Fast Company, to something a tad loftier. Researchers at IBM define it as 'an AI system whose capabilities vastly exceed those of human beings,' and claim that some leading AI models may have already achieved superintelligence, at least in many fields and cognitive areas. Either way, Meta is dead-set on not falling behind — and it's reaching deep into its pockets to pay for some of the most intelligent people in the superintelligence space: In addition to Apple's Pang, Meta has recently lured former GitHub CEO Nat Friedman, Safe Superintelligence co-founder Daniel Gross, Anthropic researcher Anton Bakhtin and about a dozen top workers from OpenAI. Meta also invested $14 billion to take a 49% stake in Scale AI, making founder Alexander Wang its chief AI officer in the process. The pay packages have been roundly super as well, though with some strings attached. Sources told Bloomberg that the roughly nine-figure salaries are packages of major signing bonuses and a base salary complementing a hefty amount of Meta shares, with much of it wrapped up in performance targets and loyalty clauses designed to lock in top hires for multiple years. Through the Looking Glass: Superintelligence hires aren't Meta's only recent instance of splashy spending. Last week, sources also told Bloomberg that the social media giant dropped $3.5 billion to take a roughly 3% stake in EssilorLuxottica, the world's largest eyewear manufacturer. That deepens Meta's relationship with EssilorLuxottica brand Ray-Ban, which makes Meta's wearable smart glasses. Similar to the superintelligence space, tech companies are now embroiled in a talent war in the spectacles sector. In May, Alphabet announced a $150 million partnership with Warby Parker, the favored glasses brand among hipster millenials. This post first appeared on The Daily Upside. To receive delivering razor sharp analysis and perspective on all things finance, economics, and markets, subscribe to our free The Daily Upside newsletter. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
India Today
15-07-2025
- Business
- India Today
Rs 800 cr to Trapit Bansal? Meta may have doubled down with Rs 1600 cr offer to ex-Apple AI head
In one of the most aggressive talent hunts Silicon Valley has seen, Meta CEO Mark Zuckerberg is offering jaw-dropping salaries to build a dream team for the company's newly formed Superintelligence Lab. Some of these offers reportedly range between Rs 800 crore and Rs 1,600 crore, and are aimed at luring the world's top artificial intelligence researchers from Apple, OpenAI, Google DeepMind, and Anthropic. Among the latest eye-catching figures is the rumoured Rs 1,600 crore (approximately $200 million) compensation package offered to Apple's Ruoming Pang, who was recently reported to have joined Meta. This follows the news of a Rs 800 crore ($100 million) offer being extended to Trapit Bansal, a former OpenAI researcher by Meta. Bansal was one of the minds behind the company's o-series models. While Meta has not confirmed these numbers, the scale of the packages, including salary, signing bonuses, stock grants and long-term vesting, puts them on par with, or even beyond, compensation earned by CEOs of major global likes of Trapit Bansal and Ruoming Pang are now part of Mark Zuckerberg's Meta Superintelligence Labs (MSL), a division launched earlier this month of the company's renewed push into AI. The lab is led by former GitHub CEO Nat Friedman and ex-Scale AI CEO Alexandr Wang, and it has already poached top-tier researchers from competing has reportedly hired at least 11 high-profile AI scientists, including Lucas Beyer, Xiaohua Zhai, Jack Rae, and Johan Schalkwyk from Google, and multiple researchers from OpenAI such as Ji Lin, Shengjia Zhao, and Jiahui Yu. These appointments, including Bansal's, are aimed at accelerating Meta's development of artificial general intelligence (AGI) – a system capable of human-level reasoning and learning. The company's investment goes well beyond talent. Zuckerberg on Monday also announced that Meta is building a massive AI infrastructure, including an 'AI data supercluster' named Prometheus, expected to go online by 2026. In a detailed Facebook post, he described the project as part of a long-term plan to gain an edge in the AI race. The post confirmed that Meta is building multiple 'multi-gigawatt' clusters, including Hyperion, a system that will scale up to 5 gigawatts in the coming speed up deployment, Meta is even building temporary data centres in tents, echoing Elon Musk's 'tent factory' strategy during Tesla's Model 3 production rush. These makeshift facilities, equipped with prefab cooling modules, are expected to help Meta bring AI models online faster — even if they face occasional shutdowns in high heat. According to Business Insider, Zuckerberg was disappointed with the muted response to Meta's Llama 4 AI model earlier this year. Since then, the company has ramped up efforts to rework its AI roadmap. This includes a massive $14 billion investment into Scale AI for high-quality training data and the ongoing hiring spree with multi-million-dollar offers.- Ends
