Jobs for AI specialists
New jobs on the market requiring AI knowledge and jobs which are easier with AI
AI has drastically changed the job market. Now, job titles like "AI ethicist" and "ML engineer" are not just buzzwords but crucial positions. Nowadays, you need to be as familiar with AI as you are with office coffee machines; who knew "talking to robots" would be part of the job description?
Studies show that by next year 97 million new roles may emerge, particularly in AI development, data analysis, and tech-driven sectors. AI recruitment industry has already reached $590.50 billion and only continues to grow since more than 70% of recruiters predict that all firing and hiring decisions will be made by AI very soon.
Let’s see what you will have to learn to survive in this Brave New World:
- “Talking to robots” (Prompt engineer)
As we mentioned above, sweet-talking robots is the new “confident PC user”. But there are people who engage in those conversations for a living, and they are called prompt engineers. They know how to get the annual sales report out of LSTM networks and make hot reels with Stable Diffusion. This role demands skills in programming, linguistics, and a knack for understanding AI behavior.
- “Holding robots accountable” (AI ethics specialist)
You’ve probably heard about OpenAI and Scarlett Johansson scandal and that is exactly what ethics specialists will be hired to mitigate.
They will be in charge of developing ethical guidelines and policies for AI projects. For example, they might assess an AI-driven hiring tool to ensure it doesn't discriminate against certain demographics. Skills needed for this position include critical thinking, effective communication, and familiarity with AI frameworks and regulations.
Ok, but what about actually getting inside of robots and creating them?
Of course, there are AI software developers! Using tools like TensorFlow, PyTorch, and Keras they build and train models which we later use to see how Shrek would look in a pink tutu. To get this job, you need to know programming languages like Python, have a strong grasp of machine learning principles, and understand data structures and algorithms. Plus, being able to debug code while half the time wondering if AI is secretly judging your mistakes is a bonus!
Image generated using AI
ML engineers teach those models to differentiate data and solve complex problems like analyzing vast amounts of data to identify patterns indicative of malicious activity, helping to protect systems and networks from cyber-attacks.
This also brings a new job to the market — a cybersecurity engineer with AI knowledge. For example, Mike Beck used to be an investigator for MIT who later moved to cybersecurity claimed that he always relied on his intuition when dealing with malware. And now at Darktrace Antigena, AI can do it for him, for example, famously saving thousands of healthcare records during the 2017 WannaCry ransomware attack.
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As we can see, AI is not taking your job from you, but rather making you better as a pro.
And creating some new professions you can acquire with it:
- Financial analyst
Professionals entering AI in finance need a strong foundation in quantitative analysis, machine learning, and financial markets. Proficiency in Python and awareness of regulatory and ethical considerations are crucial.
AI currently aids in fraud detection, algorithmic trading, and personalized banking services. Future advancements include better risk management, automated compliance, and personalized financial advice using AI insights.
- AI Engineer
The technology sector requires expertise in computer science, software engineering, and AI fields like machine learning, deep learning, and robotics.
Experience with cloud computing, big data, and IoT is essential. AI applications include autonomous vehicles, drones, and smart home devices.
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- Predictive Maintenance Engineer
Aspiring AI professionals in manufacturing need expertise in industrial engineering, machine learning, robotics, data analytics, and IoT management.
Current AI focuses on predictive maintenance, real-time production optimization, and automated quality control.
Future trends include digital twins for process simulation, advanced robotics for flexible production, and AI-driven supply chain optimization.
If those descriptions made you excited, start mastering these tools and upgrade your resume
- TensorFlow and PyTorch for ML as we mentioned above
- Apache Hadoop, Spark, and Kafka to work with Big Data
- AWS, Google Cloud Platform, and Microsoft Azure would be most important for cloud computing
- NLTK and spaCy Python libraries are widely used in NLP along with BERT
- OpenCV for computer vision
- UI Wizard is an AI-powered UI design tool for designing wireframes, mockups, and prototypes in minutes
- Vercel is a go-to app that enables developers to host websites and web services that deploy instantly, scale automatically, and require no supervision
- Replicate has seen people build autonomous robots, real-time drawing apps, and language model command-line interfaces
- OpenAI allows you to leverage its APIs to integrate advanced AI models into your applications for tasks such as natural language processing, data analysis, and automation
Despite technical tools, AI requires soft skills, believe it or not!
For example, working as an Ethical AI specialist you will need to boost awareness of ethical considerations and regulatory frameworks surrounding AI, as well as the ability to develop responsible and fair AI solutions.
And for prompt engineering, you will surely need to think outside the box and put yourself in other people’s shoes when generating different tasks. You will also have to be creative and innovative because there are new developments in AI abilities every day.
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Where to land those jobs?
We all know our LinkedIn, Indeed, and SimplyHired but if you want to narrow your search down and see the best positions you need to explore websites specific to the industry:
- The AI job board
- Data Science job board and Telegram chats
- Kaggle - Known for its data science competitions, Kaggle also features job listings in AI and machine learning.
- GitHub: Engage in open-source projects and network with other developers in the AI field.
- AI Conferences and Workshops: Events like NeurIPS, ICML, and CVPR are great for networking and job hunting.
- Professional Associations: Join groups such as the Association for the Advancement of Artificial Intelligence (AAAI) for networking and job resources.
And of course, follow tech-savvy companies and influencers on social networks and connect with them on LinkedIn!
Sounds rather complicated! What if I don’t want to venture into any AI technologies but rather make robots do my job instead of me?
We’ve got you covered!
- Everything routine-wise
AI can handle large volumes of data entry, reducing human error and saving time.
AI tools can sort and prioritize emails, draft responses, and filter spam.
- Enhancing Decision-Making
AI can analyze complex datasets, providing insights and predictions that inform strategic decisions.
AI algorithms can offer tailored suggestions based on past behaviors and preferences.
- Improving Productivity
AI-powered tools can help prioritize tasks, set reminders, and manage schedules efficiently.
AI assistants like Siri, Alexa, or Google Assistant can perform various tasks, from setting meetings to answering queries.
- Taking customers off your hands and preventing burnout
AI chatbots can handle customer inquiries 24/7, providing instant responses and freeing up human agents for complex issues.
AI can analyze customer feedback to gauge satisfaction and identify areas for improvement.
And much more!
The situation with AI jobs highlights the most prominent feeling you get when you come close to computers and algorithms — cool but scary! Just think that an intellect much superior to yours is dealing with boring emails while you are teaching it how to talk to humans. And it is already so good at it that we can barely differentiate between real and generated voice.
Who knows what else can be changed around us when we pass all our knowledge to AI?
This article was first published in the Creators AI newsletter. View the original edition.
