Find Top AI Developers
Elevate your business with the power of Artificial Intelligence.
In today’s world, finding the right talent to transform your AI vision is paramount. Goldman Sachs Researchsays that generative AI could boost global GDP by 7%. And to capitalize on this potential, hiring expert AI coding professionals is a must. It is an investment in your company’s future.
The question remains: Where can these highly skilled specialists be found?
Enter Devler.io — an answer to your pain points and your best one-stop shop for connecting with top AI developers in Eastern Europe.
Who are AI developers?
AI developers are the ones who create software that performs tasks initially requiring humans.
Some of the critical skills of an AI developer:
- Machine learning: AI developers need a strong knowledge of machine learning algorithms like Keras, PyTorch, and TensorFlow. These algorithms are used in order to train AI models.
- Data analysis and interpretation: AI developers must understand how to clean, manipulate, and extract insights from data to train effective models.
- Deep learning: allows AI systems to tackle complex tasks that traditional machine learning struggles with. For example, deep learning helps with image and speech recognition and identifying complex relationships in data.
- Natural language processing: experience with tokenization, sentiment analysis, stemming, and other NLP techniques is essential for tasks like creating chatbots or machine translation.
- Computer vision: understanding computer vision techniques like OpenCV helps in object detection and image recognition.
- Cloud computing platforms: knowledge of cloud computing platforms like Google Cloud or Microsoft Azure provides resources and tools for building and deploying AI models.
- Programming languages like Java or Python: strong programming skills, particularly in languages like Python or Java, are fundamental for developing AI systems. Python is a popular choice due to its extensive libraries for machine learning and data science.
- Statistical and mathematical skills: A solid foundation in statistics and mathematics is necessary to understand the underlying algorithms and concepts behind machine learning and AI.
- Big data technologies: knowledge of Spark and Hadoop is beneficial for managing and processing vast amounts of data.
Soft skills
- Problem-solving: the world of AI is more than just complex algorithms. For example, an ability to resolve complex issues, analyze potential solutions, and implement effective fixes is precious.
- Communication: AI developers can be introverts. However, this world is also about effectively communicating and collaborating in a team. Sometimes, one needs to be able to explain complex technical issues to non-technical users.
- Adaptability and continuous learning: embrace new tools, frameworks, and methodologies to stay up-to-date and relevant in the fast-paced field. The tech world is constantly evolving, and so should experts. Agility is a new must-have thing (in fact, it always has been).
- Project management: many AI projects involve complex tasks and deadlines. Project management skills enable developers to organize their work effectively, prioritize tasks, and meet project goals on time and within budget.
- Teamwork and collaboration: AI development is rarely a solo endeavor. Working effectively within a team, collaborating with colleagues, and sharing ideas is crucial for successful project completion.
- Creativity: think outside of the box and explore new solutions to existing problems.
Common functions of AI developers:
- Crafting of AI algorithms and models: to do this task properly, AI developers should choose appropriate algorithms (like decision trees or neural networks) and tailor them to the specific problem they are trying to solve. They may also combine different algorithms to create more complex models.
- Training and fine-tuning models: the next step is designing an AI model. To do this, developers first prepare and clean data. Then, they need to monitor the whole process.
- Leveraging Machine Learning frameworks: build, train, and deploy AI models effectively with the help of machine learning frameworks like PyTorch or TensorFlow.
- Assessing and optimizing model performance
OK, we have an AI model. But is this the end of the story? Not now, as we need to assess its performance and make it work even better! AI developers use various metrics to measure accuracy and precision. Based on this evaluation, they may need to optimize the model by adjusting its architecture, training data, or hyperparameters to achieve better results.
How much does AI cost?
The cost of AI depends on those four variables:
The type of AI
- Narrow AI (Weak AI): This is the most common and cost-effective type. Narrow AI excels at specific tasks like image recognition or spam filtering. Since it's not designed for general intelligence, AI software development is typically faster and requires less data, leading to lower costs.
- General AI (Artificial General Intelligence): This theoretical type of AI would mimic human-like intelligence, able to learn and perform any intellectual task a human can. General AI is yet to be achievable, but research in this area is expensive due to its complexity.
- Superintelligence (Artificial Superintelligence): This hypothetical AI would surpass human intelligence in all aspects. Superintelligence is purely speculative, and the development costs are beyond our comprehension.
Project complexity
- Simple projects. This involves tasks like classifying images or developing a basic chatbot.
- Complex projects. They necessitate vast amounts of data, sophisticated algorithms, and extensive development time, leading to a higher cost.
Dataset size
- The size of the dataset can impact the model’s performance and accuracy. Of course, large datasets come with an increased cost of data acquisition and processing.
Algorithm accuracy and fluency
- Lower Accuracy: AI models designed for simple tasks can achieve acceptable performance with less complex algorithms. This reduces development costs.
- Higher Accuracy: Complex algorithms are necessary for tasks requiring high accuracy or nuance, like medical diagnosis or financial trading. Developing and fine-tuning these algorithms can be expensive.
Overall, development costs are not one-size-fits-all. By carefully considering the type of AI, project complexity, dataset size, and desired accuracy, businesses can make informed decisions to keep their AI projects within budget.
Rates for AI specialist
Undoubtedly, AI technology has dominated the world. There are many AI-related positions, and we’ll discuss them below. The biggest rates include Computer Vision, Deep Learning, and AI engineering specialists.
- Computer vision engineers - $168,800
- Ai engineers - $160,700
- Deep learning engineers - $141,400
- AI product manager - $128,000
- AI research scientist - $115,000
- Machine learning engineers - $109,100
Rates for an AI engineer vary between $55 and $117 per hour. The daily rate is something about $744. See below hourly rates by location.
Pre-Built vs. Custom AI: Understanding Your Options
Two types of AI
Get AI working for you today with pre-built solutions or build out custom solution around your unique needs
AI software solutions are divided into pre-built applications and custom platforms developed by engineers.
The costs of AI custom solutions vary from thousands to hundreds of thousands of dollars. It also depends on how complicated your project is.
Pre-built applications are meant to be cheaper. You can actually get them for free or pay a sum of money a year.
Pre-built solutions are necessary for such tasks:
At the same time, custom AI is required for such highly specialized or unique tasks:
| Cost | Time | Flexibility | Accuracy | Scalability | |
| Pre-built solutions | Generally lower upfront cost (free, subscription, or pay-per-use) | Quicker implementation (ready to use or short setup) | Limited customization options | It may have lower accuracy due to generic training data | Limited scalability to changing needs |
| Custom AI development | Higher upfront cost (thousands to hundreds of thousands) | Longer development time (weeks to months or more) | Highly customizable to specific needs | Can achieve higher accuracy with tailored training data | Highly scalable to accommodate growth |
Build AI Team
To build a successful team, you need versatile specialists. Apart from AI developers, it is important to have:
AI architects
- Creating an overall AI solution architecture (taking into consideration factors like model selection, deployment infrastructure, and data pipelines)
- Integrating AI solutions into existing IT systems
- Ensuring the scalability and maintainability of the AI system as it evolves
ML engineers
- Developing and implementing machine learning algorithms based on the architect's design
- Preprocessing and preparing training data for AI models
- Training and evaluating machine learning models
ML Researchers
- Researching to develop new machine-learning algorithms and techniques
- Analyzing and evaluating existing machine learning methods to identify strengths and weaknesses
Computer Vision engineers
- Designing and developing algorithms that enable computers to interpret and understand visual data (images, videos)
- Training machine learning models to recognize objects, faces, scenes, and activities in visual data
- Optimizing algorithms for performance and accuracy on specific tasks (e.g., facial recognition for security systems)
- Integrating computer vision models with other systems for real-world applications
NLP engineers
- Developing algorithms that enable computers to understand and process human language (text, speech)
- Training machine learning models for tasks like sentiment analysis, machine translation, text summarization, and chatbot interaction
- Designing and building natural language interfaces for AI applications
- Evaluating the performance and accuracy of NLP models on a specific task
AI Ethicists
- Identifying and analyzing ethical considerations related to AI development and deployment
- Developing and implementing ethical guidelines for responsible AI development and use
- Addressing issues like bias, fairness, transparency, and accountability in AI systems
- Ensuring AI systems are designed and used in a way that respects human rights and values
The list of roles in AI is quite big. Here, we mentioned the most popular, but you can also consider data scientists, DL engineers, AI engineers, robotics engineers, AI product managers, etc.
Having a well-rounded team with a mix of different specialists can significantly increase your chances of success. We can help you find qualified experts in artificial intelligence and programming. Hire AI developers with us and empower your team to achieve remarkable results.
What’s Devler.io?
At Devler.io, we connect you with the best minds. Devler.io is your platform that links businesses with pre-vetted software Open AI developers from Eastern Europe. We act as a middleman to streamline the hiring process for clients.
Devler.io is one of the TOP AI development companies. We allow businesses to leverage the cutting-edge capabilities of OpenAI for their projects without the hassle of recruiting and vetting individual developers. Devler.io streamlines the process, ensuring a perfect match between your project needs and the expertise of our developers.
What services does Devler.io offer?
AI developer matching is a primary function of Devler company. We assess the skills and expertise of European developers and connect them with businesses. Ensuring a good match between project requirements and developer capabilities is important.
What are the benefits of Devler.io?
Unmatched expertise
We have great expertise in various AI technologies, such as natural language processing, machine learning, and computer vision. This is why we can assess our candidates effectively, and only the best can join Devler’s network.
Streamlined process
There is no need to wait till the end of the world and fill in tons of papers to get AI developers for hire. Benefit from the simplicity of the procedure and capitalize on emerging AI opportunities quickly.
Cost-effective solutions
Devler.io offers different pricing models and competitive rates. In addition, you save money by hiring the best freelance AI engineers on a freelance basis compared to in-house. Get the best value for your AI investment!
Experience working on various AI projects
Our AI developers have a proven track record of success across various AI projects. This breadth of experience ensures they can approach your unique challenges with a comprehensive understanding of the AI landscape.
Start hiring with Devler
01. Fill out the form on Devler.io
The first step is to apply to our company. The best and easiest method to do this is to fill in an application form.
02. Describe the requirements
In this application form, you can specify all the details regarding your project, all the requirements, and whom you are looking for specifically.
03. Interview candidates
Once we know your expectations, we’ll start matching you with the best candidates. Then, you’ll be able to talk with them via online interviews and ask important questions personally.
04. Hire the best AI developer for your project
Our expertise allows us to rigorously assess potential candidates and ensure they possess the specific skills and experience your project demands. You can be confident you're getting a developer who can not only code but also understand the nuances of AI and its application within your domain.
How to hire AI developers on Devler.io?
- Devler.io possesses a wide range of skilled specialists.
- We are looking for a specialist who best matches your needs and your project.
- We are here for you all time to help you navigate any complexities and questions that may arise.