Artificial Intelligence (AI) is a significant technological skill field that offers limitless opportunities, from machine learning to network security, AI research, and development.
Most of the positions in the AI field demand a master’s degree in computer science or a related field like data analytics. Additionally, candidates need coding skills, a solid portfolio, tech development experience, and software.
Here are a few requirements an individual requires to land a job in AI.
AI offers innumerable opportunities for professionals, however; students must be ready for a high learning curve, investments, and time to land a job in AI. Entry-level AI positions require a computer science or related field bachelor’s degree.
A bachelor’s in computer programming, for example, lead to an entry-level position as an operation research analyst- responsible for gathering relevant data with the help of statistical software and databases. On the contrary, higher positions still require a master’s degree.
Other aspects besides education include relevant experience in coding, Java, Python, PHP, and C/C++. Moreover, professionals can also supplement their knowledge with coding boot camps.
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All technology jobs require soft skills like empathy, analytical thinking, curiosity, and adaptability. AI machine-learning jobs require ingenuity, perseverance, and teamwork. Programmers, data engineers, and information scientists must work in a team to conduct numerous tests before achieving the desired results.
Required hard skills include proficiency in more than one programming language. For example, Python is a solid data science language for naïve programmers and experienced professionals. Simultaneously, Java is often used for machine learning, neural networks, and search algorithms.
More importantly, jobs in AI-specific companies require skills in particular frameworks and AI platforms- AWS to build software applications.
Essential Skills Needed for AI Professionals
- Programming Languages- Prolog, Python, Java, C++, and SQL
- Machine Learning Frameworks- PyTorch, Scikit-Learn, Spark ML, TensorFlow, and Arguably
- AI Platforms: Microsoft Azure AI, Amazon SageMaker, Google Cloud AI, Dataiku, and IBM Watson Studio
- Workflow Management Systems- Monday, Asana, Smartsheet, Zapier, Teamwork
- Big Data Tools- PyTorch, Keras, Apache Spark, Cloudera, and Tableau
- Natural Language Processing Tools- Natural Language Toolkit, Gensim, Stanford Core NLP, Apache OpenNLP, and TextBlob Library
AI has no standard AI degree or curriculum; job positions require multiple overlapping disciplines. The AI professional requires deep computer science knowledge with data science, machine learning, and Java basics.
A well-created portfolio can transform a candidate into a new hire since professionals illustrate their expertise in AI with a portfolio. Professionals must display adequate experience in technology development and programming.
Personal projects and coding boot camps offer an excellent way to establish a solid portfolio. At the same time, students can acquire experience via internships while AI companies- Google, IBM, and AWS offer necessary certifications.
Top AI Job Roles
Data scientists, also called big data engineers, already have the required experience in data science and employ statistical and machine learning techniques. They analyze vast data sets and utilize machine learning algorithms to gain insights from unstructured data. They must work closely with business executives to locate trends and patterns in data before using the knowledge to make meaningful decisions.
The average salary for this position is USD 65,674
Natural Language Processing (NLP) Engineer
NLP engineers specialize in NLP and utilize tools and platforms to employ machine learning and NLP approaches to help computers understand and interpret human conversation. NLP engineers take the unstructured text and speech and transform it for the computer to understand. They work closely with other engineers to build systems that can comprehend human speech and text.
The average salary for this position is USD 86,193
Robotics engineers design, develop and test the robotic systems. They are responsible for establishing AI systems and working with other scientists and engineers to build systems that perform numerous operations- from manufacturing to assembling, search, and security. Robotic process automation and relevant experience in robotics are crucial skills individuals must possess.
The average salary for this position is USD 86,382
Machine Learning Engineer
A machine learning engineer has relevant experience in machine learning and is responsible for building machine learning algorithms and models to analyze big datasets to make predictions. This position requires an individual to design, create, develop, and implement machine learning models. They must partner with software engineers and data scientists to develop sophisticated algorithms and systems.
The average salary for this position is USD 109,143
AI Research Scientist
AI Research Scientist works on research projects and builds new AI technologies for businesses to enhance their processes. They are responsible for pushing the boundaries of possibility with AI. AI scientists must prove the viability of a new tool or product before the company invests hundreds of dollars. Hence, AI research scientists’ demand is increasing.
The average salary for this position is USD 115,443
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Deep Learning Engineer
Deep learning engineers use multiple methods to give computers algorithms that allow them computers to learn from massive amounts of data. They must partner with data scientists and technologists to build and run sophisticated neural networks and deep learning algorithms.
The average salary for this position is USD 141,435
Computer Vision Engineer
Computer vision engineers integrate AI machine learning and computer vision approaches to help computers understand and interpret visual data. They collaborate with engineers to build systems that detect and categorize visual data.
The average salary for this position is USD 168,803
Due to high AI demand across businesses, AI professionals get an excellent pay range. The kind of position a candidate gets depends on their education, skills, and experience mentioned in the portfolio.
Professionals may get into positions like machine learning engineers, data scientists, or software engineers. Interestingly, candidates can work in the AI field without a relevant degree but not without formal training in coding for AI and machine learning.
Moreover, with the necessary expertise, a fresher can work in machine learning after acquiring the essential knowledge. At the same time, they must make plans to collaborate with experts with significant expertise in the machine learning industry.