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Hoang

Hoang

AI Engineer

Experience3 years
AvailabilityFull-time

Hoang is an AI/ML/SWE enthusiast who has 3+ years of experience working in startups and large corporations. He has performed AI/ML roles at Microsoft, SoftBank, and Fujitsu.

Expert in
  • AI
  • HTML
  • Tensorflow
  • A/B Testing
  • Git
Also worked with
  • Java
  • Neo4j
  • JavaScript
  • Python
  • SQL
Dongjoo

Dongjoo

AI Engineer

Experience3 years
AvailabilityFull-time

Dongjoo has 3+ years of experience in software development. He has worked on projects like developing a smart-wheelchair, an ML platform, a WebRTC-based real-time cheating detection platform.

Expert in
  • AI
  • Python
  • Linux
  • Machine Learning
  • Github
Also worked with
  • DevOps
  • Laravel
  • Django
  • React.js
Nitin

Nitin

NLP Engineer

Experience4 years
AvailabilityFull-time

Nitin is a senior engineer with 4+ years of experience in technologies like Natural Language Processing (NLP), Data Analytics, and Artificial Intelligence/Machine Learning.

Expert in
  • NLP
  • Machine Learning
  • Github
  • MySQL
Also worked with
  • Data Science
  • Data Analysis
  • ETL
Nishat

Nishat

CV Engineer

Experience4 years
AvailabilityFull-time

Nishat is a data analyst with 4+ years of experience in Machine and Deep Learning for computer vision and NLP use cases. She is also skilled in Python, Spark, Docker, Airflow, etc.

Expert in
  • CV
  • Python
  • Spark
  • Docker
  • Airflow
Also worked with
  • AI
  • NLP
  • Django
Lance

Lance

CV Engineer

Experience4 years
AvailabilityFull-time

Lance has 4+ years of experience in the software industry. He has worked with cutting-edge tech startups and used technologies like Python, computer vision, data analysis, etc.

Expert in
  • Python
  • Computer Vision
  • Data Analysis
  • Arduino
  • MATLAB
Also worked with
  • Data Science
  • Quantitative Analysis
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Guide to hiring remote AI engineers

Finding it hard to hire a perfect AI engineer that fits your project requirements? This hiring guide can help you recruit the best software talent.

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Guide to hiring remote AI engineers
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How to hire a AI developer? Skills to look for, interview questions, and more

Sometimes, it can be challenging to find an AI engineer for your company. Although it may be the most in-demand profession on the market right now, finding a skilled developer is not as straightforward as it may appear.

Hiring a developer on your own necessitates some level of software development knowledge. So if you're a non-technical manager interested in learning more about how an Artificial Intelligence developer is hired, we've put up a great resource for you.

Skills to look for in an AI developer

At a high level, Artificial Intelligence developers should have the following skills in his/her arsenal:

1. Well-versed with probability and statistics

To understand distinct AI models such as Hidden Markov Models, Naive Bayes, Gaussian Mixture Models, and others, your potential AI developers must have a thorough understanding of probability and statistics. These theories help them in their understanding of sophisticated algorithms. On the other hand, statistics is a must for programmers to be effective as AI specialists. They should know how to navigate the fundamentals of statistical methods and how to use them as a model evaluation metric. Because probability and statistics lie at the heart of AI, it's impossible to escape them.

2. Expertise in programming languages (Python/C++/R/Java)

Your potential AI developers must know programming languages such as Python, C++, R, Java, etc. Python makes it simple for them to build complex algorithms. C++ speeds up the entire coding process. Basic expertise in R is also required for them to be efficient in stats and plots. In addition, AI professionals use Java to implement mappers and reducers, so the basics of Java is also a skill not to be missed out on.

3. High proficiency in distributed computing

Most AI jobs require developers to deal with large data sets that they can not process using a single machine. Therefore, it has to be equally distributed across an entire cluster; this makes it essential for the developers to be efficient in distributed computing. While hiring for the same, look for experience in data management as well. Developers deal with large volumes of data, and any mismanagement can cause real big troubles.

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4. Good command over Unix tools

The UNIX operating system is a multiuser computer operating system. Internet servers, workstations, and mainframe computers all use UNIX. UNIX's core characteristics—portability (the ability to run on a variety of computers), multitasking and multiuser capabilities, and its large software library—make it relevant and useful. Most of the processing in AI happens on Linux-based machines, so the developers you are going to hire must know different Unix tools such as awk, grep, sort, find, cut, tr, etc. They should be well-versed with their functions and ways to utilize them well.

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5. Good knowledge of advanced signal processing techniques

You definitely wouldn't wanna hire someone who lacks knowledge in signal processing techniques because it can cost you big. The AI developer you're searching for should be knowledgeable with complex signal processing methods like bandlets, wavelets, curvelets, shearlets, and contourlets, among others. They should also have a basic understanding of time-frequency analysis and be able to apply it to their situations. Also, they should be well-versed with concepts like Convolution and Fourier Analysis.

6. Aware of data engineering methods

The first step in machine learning development is pre-processing and storing raw data generated by your systems. Consider an online store that sells a wide range of goods to people all around the world. This online store will generate a large amount of data on certain occurrences. When a customer clicks on a product description or purchases a product, new data is generated, and you'll need to create Extract, Transform and Load (ETL) pipelines that process, clean up and store data, so it's easily accessible for other processes, such as analytics and predictions. So look for AI developers who know tools like AWS S3, AWS Redshift, Power BI, Tableau, Open CV, etc.

7. Familiarity with AI models

If you want to hire a skilled professional for AI development, you need to find someone who is proficient in machine learning algorithms. But that's not enough; they also need to know when to apply them. For example, if they have a dataset with a series of inputs with corresponding outputs and they want to find a model that describes the relationship, they would use supervised learning algorithms that can be further grouped into regression (when the output variable is a real value, such as "weight" or "age") and classification algorithms (when the output variable is a category, such as "yes/no").

Create a hiring funnel

Creating a hiring funnel will provide you with numerous benefits, like assisting you in identifying the top skills and identifying an Artificial Intelligence developer who will fit into your company's culture.

What Turing does for you

Candidates screening
Candidates screening

We will help you select the best talents and spot an AI developer who will fit in your company culturally

Test task
Test task

We verify if the candidate really wants to work at your company and is able to spend 5+ hours to prove it by rigorous tests. It helps us to see a developer's caliber.

Technical test
Technical test

Developers are asked AI related questions and made to solve tricky problems. We use open questions. The goal is not only to test developers’ knowledge – we also want to find out their way of thinking.

Giving specific feedback
Giving specific feedback

We provide explicit feedback on both the test task and the technical test after we have checked the developer's expertise.

What you do

Interview
Interview

You can interview the shortlisted developers to check if the candidate matches your requirements and is a good fit for your company.

Hired/Not-hired
Hired/Not-hired

Hire intelligently with developers sourced by software, vetted by software, matched by software & managed by software.

Top interview questions to hire Artificial Intelligence developers

You realize that hiring top Artificial Intelligence developers is important to the success of your project, whether you're an IT recruiter or a project manager. Here are some interview questions to ask if you're seeking a new Artificial Intelligence developer to work on your web applications.

Their answer here should show that they recognize the far-reaching and practical applications of AI. Still, their answer is up to them because their understanding of the AI field is what you are trying to ascertain. If possible, ask the candidate to mention those uses most relevant to your projects.

To set tasks and goals, agents are important. So do ask this question to cover the AI basics. Their answer may follow - Intelligent agents are self-contained entities that employ sensors to monitor their surroundings and then use actuators to carry out their activities or achieve their objectives. They can be basic or complicated, and they can be programmed to improve their performance.

AI is an umbrella term, and there are many tools and methods under it, which makes it complete. So you must look for a developer who knows about important AI tools like Tensorflow. Their answer may follow - TensorFlow is an open-source software library created by the Google Brain Team for research in machine learning and neural networks. It's a data-flow programming language. TensorFlow makes it much easier to include AI features like natural language processing and speech recognition into applications.

The candidate should be able to answer this easily. But with his/her answer, you can check how much they know about the surrounding terms and concepts. Their answer may follow - Machine learning is a subset of artificial intelligence. Rather than having humans constantly input parameters, the assumption is that machines will "learn" and become better at tasks over time. Machine learning is an example of AI in action.

Neural networks are one of the most important branches of AI. So your potential developer should have a basic understanding of the same. Their answer may follow - A class of machine learning techniques known as neural networks. The computational component of the neural is the neuron, and the network is how the neurons are connected. Data is passed between neural networks, which gather more and more meaning as time goes on. More complicated data can be processed more effectively since the networks are interconnected.

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Here are some more AI developer interview questions that you can ask to assess a developer’s caliber.

  • Why is Image Recognition a key function of AI?
  • What is Automatic Programming?
  • Define Bayesian Network, and how does it relate to AI?
  • What are constraint satisfaction problems?
  • What is supervised versus unsupervised learning?

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Frequently Asked Questions

The purpose of the two-week no-risk trial period is to start working with the developers and include them in the team. If you are satisfied with the developers, you keep working with them and pay their salary including the first two weeks. But, if you are not satisfied during the trial period, then you won’t pay anything.

AI is used in a number of industries, with use cases varying from virtual assistants and chatbots to autonomous systems, spanning agriculture, security, retail, and more. If you are planning to scale your AI engineering team, try Turing. It makes hiring easy for companies by offering pre-vetted remote AI engineers at half the price.

You can hire AI engineers in a couple of clicks with Turing. It's an AI-powered deep-vetting talent platform where you will find talent from across the world who are comfortable working in your time zone. Turing deeply vets AI engineers and guarantees that you will find your remote AI engineers in 4 days at an affordable price.

Turing has created the first and only AI-powered deep-vetting talent platform to vet remote developers. Turing tests developers based on actual skills vs. self-reported experience from traditional resumes or job interviews. Every developer at Turing has to clear our tests for programming languages, data structures, algorithms, system designs, software specialization, frameworks, and more. Each Turing developer goes through our automated seniority assessment test comprising 57 calibrated questions in 5 areas — project impact, engineering excellence, communication, people, and direction.

With Turing, you can hire the best remote developers for 100+ skills such as React, Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, DevOps, Machine Learning, etc. Turing also offers developers based on tech stack and seniority.

AI engineers are in great demand and this will continue in the future because AI is gaining importance. More companies and industries are using AI which in turn means that there is a greater need for AI engineers. With Turing, companies can now build a team of the best remote AI engineers in a matter of 4 days.

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