Evaluating the Skills and Expertise of Remote AI Developers for Specific AI Projects
There is no denying the transformative power of artificial intelligence (AI) in web development. It is estimated that the use of AI in web development will grow at a CAGR of 26.7% between 2021 and 2027, that over 50% of developers are incorporating AI into their applications, and a whopping 67% of customers are already expecting AI integration to enhance their online experiences. These statistics highlight just how important it is to evaluate and assess the skills and expertise of remote AI developers to ensure the right talent is appointed for every specific project. This assessment involves a multifaceted evaluation process that ensures developers have the necessary technical skills, experience, and problem-solving abilities to deliver high-quality results.
By using this comprehensive checklist, businesses of all sizes and scopes can ensure they hire remote AI developers who can achieve project goals and maintain high standards throughout the development process.
Skills & Expertise Checklist
Proof of Technical Proficiency
The first step is to gauge a remote developer’s technical skills. This can be done by requesting examples of projects across different domains, assessing previous project’s performance metrics, and understanding the developers’ specific contributions to each project.
A remote AI developer will need to be proficient in languages commonly used in this type of development, such as Python and Java, and have a strong understanding of linear algebra, calculus, probability, and statistics, as these are the foundations of machine learning and AI algorithms. Familiarity with core concepts and techniques, including supervised and unsupervised learning, neural networks, and reinforcement learning, is also crucial.
Experience with AI Tools and Frameworks
AI development is highly tool-dependent, so it’s vital to evaluate a developer’s familiarity with AI tools and frameworks. An AI developer should have expertise in frameworks and libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn and experience with cloud-based AI platforms like AWS SageMaker, Google AI Platform, or Azure ML.
Proficiency with Git, GitHub, or GitLab for version control and collaborative development is also an excellent attribute for those in this field.
Advanced Problem-Solving Abilities
While technical skills are essential, AI developers need soft skills, too, such as problem-solving, analytical and algorithmic thinking, and troubleshooting and debugging skills.
The ability to break down complex problems into manageable parts and develop innovative solutions, create efficient algorithms tailored to specific AI problems, and identify, diagnose, and resolve issues in AI models and code is crucial to being able to reach goals and complete projects successfully.
Conducting Technical Interviews or Tests
Geographic limitations should not hinder proficiency testing when hiring remote AI developers. Running direct assessments in virtual interviews or administering technical tests online is easy and will allow for an easier evaluation of skill and expertise.
Technical interviews should focus on theoretical knowledge and practical problem-solving skills, including coding exercises and algorithm design.
Technical tests should include standardised tests or real-world problem scenarios that clearly demonstrate a developer’s proficiency and approach to solving AI challenges.
An AI-Driven Future
Ensuring that remote AI developers have the right skills and experience involves a detailed evaluation of their skills and an assessment of their past projects. This can be time and labour-intensive, particularly for businesses without technical knowledge. Fortunately, Tribes offers a solution by offering access to a global talent pool of developers who are affordable, experienced, and ready to join your team.
With more than 50% of companies planning to incorporate AI technologies in 2024, a remote AI developer is an excellent option to ensure your business does not get left behind.
