Generative AI Salaries in India

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 THE WEEKLY NEWSLETTER OF AIM.  Sunday, Apr 21, 2024 | Was this email forwarded to you? Sign up here  By Amit Raja Naik   This week, AIM embarked on a journey to explore generative AI salaries in India. Notably, large companies offer upwards of INR 1 crore annually for senior roles, while startups and mid-size firms shell out about INR 30-40 lakh. Meanwhile, major Indian IT companies, despite substantial generative AI training initiatives, are offering lower starting salaries of around INR 3-4 lakh.   AIM noted that AI engineers with generative AI skills saw a significant 50% increase in their salaries. At companies like Accenture, a generative developer can earn aboutINR 8.5 lakh per annum, compared to the INR 5-6 lakh that regular software engineers make.  However, non-tech roles such as generative AI consultants fetched higher salaries, making up to INR 35 lakh per annum with a base salary of INR 21 lakh per annum.   Extreme: The average base salary for an AI engineer at Google is about INR 10.7 crore annually. The starting salary is about INR 12 LPA and can easily go up to INR 21.2 crore. Other big tech players like Microsoft and Amazon too offered a similar range.   Minimum: Indian IT pays the lowest of them all despite claims of training employees in generative AI. The entry-level salary for freshers at TCS ranges from INR 3-4 LPA, which remains lower than the industry standard.   AIM reached out to an employee who works with generative AI at TCS. He said that the pay scale at the company won’t change just for GenAI resources, and the hike, he said, is also largely based on the company’s financial performance and business unit budget allocation.  “I believe we may get some good hikes in the range of 25-30% after switching to another company,” the employee added.   GenAI Startups: “The average salary of an ML engineer is INR 30-40 lakh per annum,” said a GenAI engineer at Sarvam AI, adding that if you are a good ML engineer, your salary will be above the same SWE-level salary anyway, GenAI or not.  CoRover AI’s Ankush Sabharwal told AIM that the average salary for GenAI tech developers in India for startups can range from INR 8 lakh to INR 24 lakh per annum, depending on experience and skill set.  Pratik Desai, the founder of KissanAI, said that those who can conduct research using models, fine-tuning, and tokenisers and have a deep understanding of neural networks typically move to the US as they can get ‘high salaries, not just 30-50%’ hikes.   GCCs: Mid-career software professionals in the GCC segment typically earn salaries ranging from INR 15 lakh to INR 35 LPA with about three to eight years of experience.  Exceptions: Mankaran Singh, an AI engineer and the creator of FlowDrive, told AIM that any engineer with expertise in deep learning can get started and start contributing to generative AI development within 2-3 months of studying.   Izam Mohammed, who skipped college, recentlybecame an AI/ML engineer at 18, creating a Python library for RAG models and leveraging online learning and open-source contributions. He currently works at a software development company, Ampcom.    The Reality:  AIM Research noted that the median salary of generative AI professionals across years of experience in India is about INR 15.6 lakh annually. AIM Research also noted that generative AI professionals command higher median salaries than traditional data analytics roles. For instance, while generative AI developers and engineers earn median salaries of INR 11.1 lakh and 12.5 lakh per annum, respectively, these figures surpass the median salaries typically seen in mainstream data analytics roles. Read the full story here.  Register for our upcoming Masterclass: Automating Data Pipelines with Snowflake: Accelerating Data Integration and ETL Workflows >>  The State of Data Engineering in India: 2024 AIM Research recently released a comprehensive report on ‘The State of Data Engineering in India: 2024’, highlighting rapid market growth, alongside showcasing a significant rise in senior talent demand, salaries and more.   Key Highlights: Market Growth: The data engineering market in India is expected to grow at a CAGR of 33.8%, increasing from $29.1 billion in 2023 to $124.7 billion by 2028. Senior Talent Demand: The proportion of data engineers with 6+ years of experience has risen significantly, from 27% in 2023 to 38% in 2024.  Salary Growth: There has been a notable increase in the salary range, with the percentage of data engineers earning between INR 6-10 lakhs increasing from 24% in 2023 to 32.4% in 2024. Job Openings: The report found 10,593 job openings for data engineers across all industries on online job portals.  Check out the full report here.  Top Stories of the Week >>  The Impact of Lok Sabha Election on India’s AI Progress As the world's largest democracy goes to vote, India saw political parties rely heavily on using AI for campaigning. While the BJP took the lead in AI integration for multiple electoral strategies, the Congress and other regional parties showed varied levels of adoption and different AI policy goals. Read more here.   How Databricks is Enabling Agriculture’s Data Revolution with UPL  In an interaction with AIM, UPLspoke about leveraging Databricks' AI and machine learning platforms to enhance agricultural practices across 50 countries, focusing on crop management, pest control, and nutrient application.   Check out the full story here.   India is Making its Own AI Servers Previously reliant on imported and assembled servers, India now sees local production boosted by government incentives, with companies like HPE and Lenovo manufacturing Intel's latest servers domestically under the PLI schemes. Read the full story here.   AI Exchange >>  The Truth Behind BharatGPT ft. Vishnu Vardhan  In the first episode of AI Exchange, Vishnu Vardhan, the founder of SML and Vizzhy, clears the air about the BharatGPT initiative, alongside discussing the challenges of deep tech investment in India, focusing on the development and implications of generative AI and foundational models like Hanooman.    AI Nuggets >>  Wipro, in its latest earnings call, announced that it looks to lead in generative AI consulting, training over 225,000 employees to enhance its AI-focused services. Infosys acquireda German R&D company – in-tech – bolstering its capabilities in digital engineering for the automotive sector. This week, Meta released Llama 3, which outperforms Claude 3 Sonnet and Gemini Pro 1.5 in reasoning and coding capabilities.  KissanAI launched Llama 3 Dhenu, a new AI model designed for Indian farmers, now available on Hugging Face. Databricks partnered with Meta to make Llama 3 available to enterprises of all sizesthrough a fully managed API. OpenAI appointed Pragya Misraas its first employee in India to lead government relations, signalling its expansion in the region. Ola Krutrim plans to launch its AI cloud in India next week, offering free credits to AI developers. Nothing has become the first smartphone company to integrate OpenAI's ChatGPT, which features exclusive device support with innovative earbud interaction. Dell Technologiesenhanced Microsoft Azure with APEX File Storage, offering superior performance and scalability for hybrid cloud and AI-driven workloads. Hugging Face launched Idefics2, an 8B parameter vision-language model that outperforms larger competitors in visual tasks. Cisco unveiled Hypershield, an AI-native security architecture to protect AI-powered data centres, in collaboration with NVIDIA. Microsoft launched VASA-1, an AI that creates realistic deepfake videos from a single image, raising concerns during the election season. Google DeepMind advanced low-cost robotics with the launch of ALOHA 2, showcasing improved dexterity and autonomy in handling complex tasks. Boston Dynamics introducedElectric Atlas, a new electric humanoid model, as a significant upgrade to its old hydraulic version and a competitor toFigure 01, Tesla Optimus and others.  Intel unveiled Hala Point, the world's largest neuromorphic system, enhancing AI sustainability with unprecedented computational efficiency.

                                                           

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