7 Skills to Land Your Dream Generative AI Job (Number 4 Might Surprise You!)
The rise of Generative AI (GenAI) in 2024 is driving strong demand for AI professionals across industries like tech, finance, and healthcare. AWS launched a $100M Generative AI Development Center and is hiring globally. KPMG and AWS seek AI experts in the U.S., with roles like Generative AI Prompt Engineer. Scale AI is recruiting for technical and strategic AI positions. Meta is hiring AI researchers and marketers. Google is expanding GenAI initiatives for developers and businesses. Booz Allen is hiring AI specialists across the U.S. Key skills include Python, deep learning, NLP, and LLM expertise.
7 Skills to Land Your Dream Generative AI Job (Number 4 Might Surprise You!)
The rapid advancement of generative artificial intelligence (GenAI) is ushering in a new era of innovation, driving demand for skilled professionals across various industries. Companies in sectors like technology, finance, healthcare, and education are actively seeking AI talent to enhance efficiency, develop groundbreaking solutions, and refine their operations.
This surge in interest is reflected in the growing number of GenAI-related job openings, spanning roles such as data scientists, machine learning engineers, and AI researchers. Below, we take a closer look at the expanding job market for GenAI professionals in 2024.
AWS Expands GenAI Hiring Globally
Amazon Web Services (AWS) has established the AWS Generative AI Development Center with a $100 million investment, aiming to help businesses integrate generative AI into their operations. As part of this initiative, AWS is recruiting Generative AI Strategists worldwide to identify business opportunities and tailor AI solutions to client needs.
KPMG and AWS Hiring GenAI Experts in the US
AWS’s Generative AI Advisors play a crucial role in bridging the gap between AI innovators and enterprise clients, aligning with Amazon’s customer-first philosophy. These professionals use their expertise to support businesses in effectively implementing AI solutions while overcoming adoption challenges.
Meanwhile, KPMG, one of the fastest-growing Big Four accounting firms in the U.S., is actively hiring for multiple Generative AI roles. Open positions include Generative AI Prompt Engineer and Lead Engineer in AI Development, with opportunities available in cities such as New York, Philadelphia, and Seattle.
Scale AI Seeks Technical and Strategic GenAI Talent
Scale AI continues to lead in generative AI by providing high-quality data labeling and model training services for cutting-edge AI applications, including large language models (LLMs). The company is recruiting AI professionals with a mix of technical expertise, strategic insight, and operational proficiency.
Meta Expands GenAI Hiring for Research and Marketing
Meta is reinforcing its investment in AI by hiring experts in generative AI research and product marketing. Open positions include Research Engineer specializing in generative AI and NLP, Product Marketing Manager, and Content Manager. These roles highlight Meta’s commitment to advancing AI-driven innovation.
Google’s GenAI Investment Targets Developers and Businesses
Google is leveraging generative AI to enhance its platforms—including Search, Android, and YouTube—by equipping developers and businesses with powerful AI tools. The company is actively hiring across various AI-related roles, reflecting its broader push toward AI-driven innovation.
Booz Allen Seeks GenAI Experts Across the US
Booz Allen Hamilton is recruiting AI professionals with expertise in machine learning, deep learning, and natural language processing (NLP) for a range of GenAI-focused roles throughout the United States.
Essential GenAI Skills: Python, Deep Learning & More
Candidates aiming for a career in GenAI should have a strong background in AI, data science, ML engineering, software development, or data analytics. Experience with generative AI models—especially transformers and LLMs—is highly valuable. Additionally, proficiency in Python, deep learning, computer vision, NLP, and chatbot development is essential for success in this rapidly growing field.
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