How to Hire an AI Developer: The Complete Guide
Artificial intelligence is transforming almost any today's industry and business niche. Some processes are 100% delegated to AI-driven software, robots, and intelligent automation tools. According to the Statista forecast, the global artificial intelligence market will reach its maximum by 2030. It will grow up to $827 billion compared to $184 in 2024 (growth prediction is expected by 4,5 times).
It is not surprising that the demand for skillful AI developers is ever-rising as well. There are more than six job positions for artificial intelligence adopters to apply in 2024. Besides the commonly used term “AI developer”, many companies can search for:
- AI Data Scientist;
- Machine Learning Engineer;
- AI Research Specialist;
- Computer Vision Engineer;
- AI Deep Learning Engineer;
- AI Architect, etc.
These job titles and similar variations are on-trend for the present-day tech talent pools. But 2024 is just the very beginning of AI integration. ⅔ of businesses still oppose artificial intelligence.
However, the giant AI integration to different workflows and industry-specific processes is expected for the period of 2024-2025. According to the StackOverflow survey, most of today’s programmers are going to use machine learning for code documentation (>80%), testing code procedures (>80%), and namely writing code (>75%).
It means that machine learning knowledge will become crucial for technicians to solve problems faster and free from human-factor errors. The main benefit developers get with AI is advanced data analysis and precise predictions based on machine learning algorithms.
That is why, it is recommended to search for early ambassadors of artificial intelligence in tech environments. How to find a talented AI developer in 2024? Start with the check of his/her competence.
How Skilful Is Your Potential AI Developer: Candidates’ Competence Checklist
To find your perfect match, you need to scan the hard and soft skills of your candidates. Start with proficiency in the context of AI-based technical backgrounds. For this purpose, check the list of the main artificial intelligence engineer’s skills & requirements.
Your ideal candidate should be a master in programming (Python, C++, Java, etc.). Among the primary skills in the context of AI development, the pro technician should:
- Be familiar with AI models for algorithm optimizations;
- Practice AI-based data collection, sorting, and processing;
- Design benchmarks for various pipelines driven by artificial intelligence;
- Integrate AI-powered systems for existing software and industry-specific tech solutions.
Tailor your requirements to the candidates while posting a job description according to the following list:
- Expertise in libraries & frameworks for AI-friendly data analysis and computing;
- Knowledge of machine learning approaches (e.g. decision trees, data-rich problem-solving, neural networks, etc );
- Math & statistics proficiency, including data modeling backgrounds.
Do not forget about soft skills that matter for your hassle-free teamwork. AI developers should demonstrate high-grade communication, self-discipline, and time-management skills. If you are searching for a remote worker, it's better to select candidates with experience in task performance in an online format.
How to Hire an AI Developer: Your Step-by-Step Guide
- Prepare for your result-driven search. Pick sides with the skills & requirements to sort all the candidates according to their competence level.
- Get ready with the job description where all the key aspects will be described to make your demands and expectations clear for potential AI developers.
- Start networking via social media accounts (e.g. LinkedIn), job websites (e.g. Upwork), and tech forums/communities on the Internet.
- Try alternatives to recruitment agencies that have high costs for employment services. For example, Wild.Codes simplifies and speeds up your hiring process through AI-vetted and expert-verified profiles to provide the perfect matches from the first interviews.
- Choose several candidates you prefer to screen their CVs and portfolios in detail. Then, schedule an interview with each technician. Ask extraordinary questions your potential AI devs could not expect and rehearse a speech. Try to mix humor, logical puzzles, tech-stack testing, and interpersonal skill check. The effect of surprise is guaranteed 😁
- Finally, decide on the best-matching developer who is fond of artificial intelligence and can convert his theoretical backgrounds into ready-to-use solutions, data analysis, and predictions.
We could recommend surfing various freelance websites, job boards, outsourcing & outstaffing agencies but our team understands that your time is gold. AI-powered recruitment is reasonable to cut costs, meet your project roadmap and budgets.
Remember that artificial intelligence has already made the difference when it comes to different industries and niches (retail & e-commerce via AI-based visuals and reshaped content management; finance via automated cash-flow forecasting and improved accounting enhancement; he
althcare via AI-powered treatment protocol predictions, and many more). Find the most favorable AI developer for your project stress-free with Wild.Codes and our tips!
• PHP expertise;
• Database management skills;
•Jungling traits, methods, objects, and classes;
• Agile & Waterfall understanding and use;
• Soft skills (a good team player, high-level communication, excellent problem-solving background, and many more)
• OOP & MVS deep understanding;
• Knowledge of the mechanism of how to manage project frameworks;
• Understanding of the business logic the project meets;
• Cloud computing & APIs expertise.
• Reasonable life-work balance;
• The opportunity to implement the server-side logic via Laravel algorithms;
• Hassle-free interaction with back-end and front-end devs;
• Strong debugging profile.
• Using HTML, XHTML, SGML, and similar markup languages
• Improving the usability of the digital product
• Prototyping & collaboration with back-end JS experts
• Delivery of high-standard graphics and graphic-related solutions
• Using JS frameworks (AngularJS, VueJS, ReactJS, etc
• Clean coding delivery and timely debugging & troubleshooting solution delivery
• UI testing and collaboration with front-end JS teammates
• Database experience
• Building APIs while using REST or similar tech solutions
• Collaboration with project managers and other devs
• Delivery of design architecture solutions
• Creation of designs & databases
• Implementation of data protection and web cybersecurity strategies.
• Both front-end and back-end qualifications