AI Engineer Jobs

Overview

AI engineering is the latest branch of engineering. It involves the construction of autonomous software by combining systems engineering, computer science, and a human-centered design approach. AI engineering combines expertise across several domains to create machines that can work independently and solve complicated problems.

AI Engineers create highly advanced algorithms, improve information processing techniques, and maximize the efficiency of AI systems. Their work is essential in creating solutions that can handle difficult problems, automate processes, and boost productivity in different types of industries.

How is AI Engineering an in-demand career choice?

A career in AI engineering is lucrative and rewarding, given the growing integration of AI across industries.

• The average yearly pay for an AI engineer is $114,121 in the US and Rs 765,353 in India, as reported by Glassdoor.
• According to reports by Similarweb, the estimated value of the worldwide AI market is projected to reach $407 billion by the year 2027. That represents a compound annual growth rate of 36.2% from 2022.
• By 2025, there will be a requirement of 97 million experts in the AI sector. This indicates a huge demand for specialization in this domain.
• As stated by IBM, as of now 34% of businesses make use of AI, while 42% are investigating the technology. To exploit new automation and artificial intelligence capabilities, 35% of firms are re-training and upskilling their employees.

Job Description & Responsibilities

Designing software:  Their job is to design AI-first software and check whether that AI system serves the purpose it was built for.

Creating and applying AI algorithms: Software automation results from the collaboration of intelligent AI algorithms. AI engineers are responsible for crafting the software code that powers the machine's intelligence.

Project Management using AI: AI engineers are expected to manage multiple projects simultaneously that involve designing, developing, and maintaining AI systems using algorithms.

Data Visualisation: Techniques like tree maps, time-series plots, diagrams, matrices, and network visualization are used by AI Engineers to obtain clear insights into complex data.

Job Profiles in Artificial Intelligence

• Computer Vision Engineer
• AI Designer
• Machine Learning Engineer
• AI Researcher
• Robotics Engineer

How to start a career as an AI Engineer

To become an engineer in the field of Artificial Intelligence, the first step is to get a professional degree. A Bachelor’s degree (B.Sc. or B.Tech) in Computer Science or IT is a must to kickstart your career as an AI Engineer. Nowadays, a simple computer science degree with a specialization in AI-ML or Data Science is also available which equips students with specific skills to thrive in the AI job market.

If the student has earned a degree without specialization, it is critical to develop core AI skills and learn AI tools and techniques. This is where courses and certifications help. TutorialsPoint’s Artificial Intelligence and Machine Learning Certification 2024 is designed to help students master AI and related technologies with project-based learning. With 12 real-world case studies to work on, this certification provides in-demand skills to build a career as an AI Engineer.

After gaining the necessary skills, it is time to put them to use and polish them by participating in projects and hackathons. Alternatively, take up internships in the field of AI-ML and learn how to apply your expertise in real-world case scenarios. These experiences will help you tailor an effective resume that will help you land a job as a skilled AI Engineer. 

 Technologies to master to become an AI Engineer

1. Machine Learning
2. Data Modelling
3. Natural Language Processing (NLP)
4. Python
5. Algorithms
6. Computer Vision
7. Business Intelligence
8. Maths and Statistics
9. Apache Spark & Big Data Technologies