Top 10 Jobs in Artificial Intelligence in 2024
Artificial intelligence (AI) has gained significant popularity in recent years, with applications ranging from robots serving food in restaurants to self-driving cars. AI is now a part of our day-to-day lives, and professionals across the globe are both excited and concerned about its impact. According to a Gartner study, AI is an emerging field that is expected to create 2.8 million jobs by the year 2025. In this blog post, we will explore the top 10 jobs in artificial intelligence and the skills required to excel in these roles.
AI Product Manager
An AI product manager is responsible for overseeing teams involved in AI product development. They handle schedules, milestones, and support their teams in creating AI applications. AI product managers need to have a deep understanding of AI components, such as hardware and programming languages. The average salary of an AI product manager is around $190,000 in the United States and 26 lakhs per annum in India.
AI Research Scientist
AI research scientists are computer scientists who focus on innovating AI algorithms and models. Their responsibilities include creating and evaluating new AI models, collaborating in research, publishing papers, and presenting at conferences. While programming is a part of their work, it is not the primary focus. AI research scientists need strong backgrounds in computer science, mathematics, and strategy. The average salary of an AI research scientist is $125,000 in the United States and 21 lakhs per annum in India.
Machine Learning Engineer
Machine learning engineers create and deploy training algorithms and models, which is the most demanding part of machine learning. They often hold advanced degrees in computer science, mathematics, or statistics. Many also pursue specialized master’s degrees or certifications in machine learning, deep learning, or neural networks. The average salary of a machine learning engineer is $150,000 in the United States and 11 lakhs per annum in India.
Big Data Engineer
Big data engineers design, test, and maintain complex data systems for substantial data sets. They work with tools like Hadoop, Hive, Spark, and Kafka. Similar to AI researchers, big data engineers often have advanced degrees in math and statistics. The average salary of a big data engineer is $120,000 in the United States and 8.5 lakhs per annum in India.
NLP Engineer
Natural Language Processing (NLP) engineers specialize in algorithms and systems for understanding and processing human language in its natural form. They need expertise in linguistics alongside programming knowledge. NLP engineers work on tasks like machine translation, text summarization, question answering, and context comprehension. The average salary of an NLP engineer is $120,000 in the United States and 10 lakhs per annum in India.
BI Developer
Business Intelligence (BI) developers use data analytics platforms, reporting tools, and visualization to turn raw data into valuable insights for informed decision-making. They work with coding languages like SQL and Python, as well as tools like Tableau and Power BI. Understanding business operations is crucial for enhancing them through data-driven insights. The average salary of a BI developer is $110,000 in the United States and 7 lakhs per annum in India.
Computer Vision Engineer
Computer vision engineers are programmers skilled in creating software using visual input sensors and algorithms. They work on tasks like object detection, image segmentation, facial and gesture recognition, and scene comprehension. Computer vision engineers use languages like C++ and Python. The average salary of a computer vision engineer is $155,000 in the United States and 8 lakhs per annum in India.
Data Scientist
Data scientists analyze data to recognize organizational decisions. They use data mining, big data techniques, and analytics to improve sales, streamline operations, and make data-driven decisions. While coding skills are not always required, data scientists need expertise in data analysis and statistics. The average salary of a data scientist is $150,000 in the United States and 12 lakhs per annum in India.
Robotics Engineer
Robotics engineers create and improve software for robot control. They often use AI and machine learning to enhance robot performance. Robotics engineers work on software events by sensory input, requiring careful debugging of software and hardware for streamlined operations. The average salary of a robotics engineer is $105,000 in the United States and 6 lakhs per annum in India.
Software Engineer
Software engineers handle tasks from design to development, specializing in specific areas. AI software engineers work on various applications, including machine learning, NLP, and intrusion detection. They require expertise in AI development and programming languages. The average salary of a software engineer is $140,000 in the United States.
Conclusion
As AI continues to evolve, the demand for skilled professionals in this field is increasing rapidly. The top 10 jobs in artificial intelligence offer exciting opportunities for individuals with the right skills and expertise. Whether you are interested in AI product management, research, machine learning, big data, NLP, computer vision, data science, robotics, or software engineering, there are lucrative career options available. By acquiring the necessary skills and knowledge, you can position yourself for success in the AI industry.