Remote AI/ML/Data engineer jobs

At Turing, top-tier clients are on the hunt for AI/ML/Data engineers who have experience working on a range of classification, prediction and optimization problems. The position will involve building models using machine learning techniques such as NLP and Neural Networks to power AI-based applications.

Check out the best jobs for May 2024here

Find remote software jobs with hundreds of Turing clients

Job description

Job responsibilities

  • Create products with great user experience in the domain of AI/ML
  • Understand the project, design an effective roadmap & manage the overall project lifecycle
  • Use ML/AI principles to design & develop highly scalable models/classifiers/algorithms
  • Communicate & influence technical details of the projects & work with cross-functional teams
  • Continuously integrate and ship code into the cloud environment
  • Collaborate with product managers to produce wire-frame mock-ups
  • Drive usability sessions to refine workflows, get buy-ins & move toward full implementation

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science (or equivalent experience)
  • 3+ years of experience in either: AI, ML, Deep Learning, or Natural Language Processing (exceptions for highly skilled devs)
  • Skilled in any general-purpose programming/query languages: Python, SQL, PHP, Java, C#
  • Fluency in English to collaborate with engineering managers
  • The ability to work full-time (40 hours/week) and a 4 hour overlap with U.S. time zones

Preferred skills

  • Knowledge of large systems, complex code bases, & version control systems like Git
  • Skilled in ML libraries, predictive modeling, pattern recognition, data mining, etc.
  • Experience with common data science toolkits, such as R, NumPy, MatLab, etc.
  • Experience with ML frameworks (like Keras, PyTorch) & libraries (like Scikit-learn, NLTK)
  • Proficiency in applied statistics: regression, distributions, statistical testing, etc.
  • Deep understanding of Artificial Neural Networks and Deep Learning Frameworks
  • Skilled with Full-stack (FE & BE Development), Distributed & Parallel systems, etc.
  • Good command over algorithms, data structures, & computer science fundamentals
  • Function & find effective solutions to problems without hand-holding & micromanagement

Interested in this job?

Apply to Turing today.

Apply now

Why join Turing?

Elite US Jobs

1Elite US Jobs

Turing’s developers earn better than market pay in most countries, working with top US companies.
Career Growth

2Career Growth

Grow rapidly by working on challenging technical and business problems on the latest technologies.
Developer success support

3Developer success support

While matched, enjoy 24/7 developer success support.

Developers Turing

Read reviews from developers across the world and learn what it’s like working with top U.S. companies.
4.65OUT OF 5
based on developer reviews as of June 2024
View all reviews

How to become a Turing developer?

Work with the best software companies in just 4 easy steps
  1. Create your profile

    Fill in your basic details - Name, location, skills, salary, & experience.

  2. Take our tests and interviews

    Solve questions and appear for technical interview.

  3. Receive job offers

    Get matched with the best US and Silicon Valley companies.

  4. Start working on your dream job

    Once you join Turing, you’ll never have to apply for another job.


How to become an AI/ML/Data engineer?

Data Engineering is a broad topic that encompasses a variety of fields. With a primary focus on building trustworthy infrastructures, it allows for continuous data flow in a data-driven environment. These individuals serve as facilitators of clean and raw data from various sources, allowing people to use it to make data-driven decisions within the firm.

Likewise, AI and ML are some of the fascinating technological breakthroughs we've ever seen. We can see their applications in various domains. When you don't know where we're going, AI advises us, enables smart, safe parallel parking, and recommends new online products that fit our needs. You may even use AI to organize meetings or pick a new favorite TV show to watch.

AI is constantly evolving, and we will see more AI-powered voice assistants directing our daily job in the future decades.

Therefore, the need for remote AI/ML/Data engineer jobs is increasing. There has never been a better or more exciting time to work as an AI/ML/Data engineer. But first, learn more about what they do and how it feels to work in this field.

What is the scope in AI/ML/Data engineering?

AI/ML/Data engineering is already impacting our future, and the demand for qualified engineers is on the rise. AI and ML appear to hold the key to bettering specialized human jobs such as speech recognition, picture processing, business process management, and even disease detection.

Since these technologies are used in various industries worldwide, including healthcare and education, career options have gone up at an exponential rate. Likewise, data engineering is a field that helps companies make data-driven decisions. These technologies' increasing popularity and applications promise a great future for developers who work for remote AI/ML/Data engineer jobs.

What are the roles and responsibilities of an AI/ML/Data engineer?

AI/ML/Data engineers create AI models from the ground up to assist organizations in making critical decisions. They create systems that can be trained to predict future events, solve problems, and present solutions.
As an AI/ML/Data engineer, you'll be responsible for various tasks, including writing and testing algorithms, using tools like R, and delivering your final products to clients.

The main responsibilities of a developer after landing remote AI/ML/Data engineer jobs are as follows.

  • Convert machine learning models into application programming interfaces (APIs) so that other programs can use them
  • Create AI models from the bottom up and aid diverse parts of the company in comprehending the model's consequences
  • Organize the data science team's configuration
  • Create data ingestion and transformation infrastructure
  • Conduct statistical analysis and fine-tune the results so that the business can make better judgments
  • Create and manage AI product and development infrastructure

How to become an AI/ML/Data engineer?

With the right combination of skills and experience, you may start or advance your AI/ML/Data engineering career. AI/ML/Data engineers are generally educated in computer science, engineering, applied mathematics, or a related IT field. Since the work requires a high level of technical knowledge, prospective AI/ML/Data engineers may find that a boot camp or certification is insufficient.

A degree can help you build a solid foundation of knowledge in this continuously changing field. A master's degree can also help you advance your career and open doors to higher-paying remote AI/ML/Data engineer jobs.

You'll need knowledge of SQL database design and programming skills in various languages, including Python and Java. If you already have a background in IT or a related field like mathematics or analytics, a boot camp or certification could help you create a good resume for remote AI/ML/Data engineer jobs.

If you don't have any prior experience with technology or IT, you may need to participate in a more intense program to demonstrate your understanding. If you don't already have one, you may need to enroll in an undergraduate program. If you have an undergraduate degree but aren't in a relevant field, keep looking at master's degrees in data analytics and data engineering.

You'll have a better sense of how your experience fits into that job role if you spend some time going through job postings.

Interested in remote AI/ML/Data Engineer jobs?

Become a Turing developer!

Apply now

Skills required to become an AI/ML/Data engineer

Begin by learning all of the basic skills you'll need to land high-paying remote AI/ML/Data engineer jobs. Let's take a stroll through the important skills now.

1. Python

Working for remote AI/ML/Data engineer jobs requires dealing with large amounts of data that must be analyzed quickly. Python is easy to learn and code in because of its straightforward syntax. They can ensure that pieces in complicated systems have explicit links. The enormous amount of libraries available in Python is one of the key reasons it is utilized for AI. Basic items are provided by Python libraries so that developers do not have to code them from scratch every time. AI necessitates continuous data processing, and Python's modules enable you to access, process and alter data.

2. Java

Java is a platform-independent programming language that may be used on any computer. Since the platform-specific information is built into one package, its Virtual Machine Technology allows you to build applications and quickly install them anywhere. Machine learning, genetic algorithms, search algorithms, and neural networks are examples of AI programming that uses Java.

3. C++

C++ is an excellent programming language used by AI/ML/Data engineers. It includes various programming tools and library functions, making it a good alternative for handling complicated challenges. C++ is a multi-paradigm programming language that follows object-oriented ideas and is effective for data organization.


LISP is another valuable programming language to land remote AI/ML/Data engineer jobs. After Fortran, it is a computer language family and the second oldest programming language. LISP has evolved into a sophisticated and dynamic coding language with time. Because of its versatility in prototyping and experimenting quickly, LISP is employed in AI. It is a programming language that adapts to the developer's demands and effectively handles specific problems.

5. Spark and big data technologies

Every day, AI/ML/Data engineering experts work with massive amounts of data, similar to what you'd find in a digital library. They'll need access to big data technologies like MongoDB and Cassandra to make sense of all this data. More algorithms are required to process data in real-time as AI software advances.

6. Algorithms and Frameworks

When attempting to build machine learning models with simplicity, every potential AI/ML/Data engineer must first grasp machine learning techniques such as linear regression, KNN, Naive Bayes, Support Vector Machine, and other functions. Furthermore, when it comes to AI models that deal with unstructured data such as photographs and videos, one should be familiar with deep learning techniques and how to use a framework to build them. So, you need to master the important algorithms and frameworks to land remote AI/ML/Data engineer jobs.

7. Hadoop

The Apache Hadoop software library is a platform that enables the distributed processing of enormous data volumes across clusters of devices using fundamental programming principles. It's designed to scale from a single server to tens of thousands of devices, each with its own processing and storage capabilities. The framework supports many programming languages, including Python, Scala, Java, and R. While Hadoop is the most powerful tool for massive data, it has some drawbacks, such as delayed processing and a high degree of coding.

Interested in remote AI/ML/Data Engineer jobs?

Become a Turing developer!

Apply now

How to get remote AI/ML/Data engineer jobs?

Every job requires a different set of skills and personality traits. A developer should always be looking for challenges to use their ability to utilize their talent. The urge to learn new things, innovate, and embrace mistakes are also necessary to do the work with complete sincerity and dedication.

Turing offers the best remote AI/ML/Data engineer jobs that suit your career trajectories as an AI/ML/Data engineer. Grow your career with Turing by working on challenging technological problems with the latest technologies. Join a network of the world's best developers & get full-time, long-term remote AI/ML/Data engineer jobs with better compensation and career growth.

Why become an AI/ML/Data engineer at Turing?

Elite U.S. jobs
Elite U.S. jobs
Career growth
Career growth
Exclusive developer community
Exclusive developer community
Once you join Turing, you’ll never have to apply for another remote AI/ML/Data engineer jobs
Once you join Turing, you’ll never have to apply for another remote AI/ML/Data engineer jobs
Work from the comfort of your home
Work from the comfort of your home

Turing allows you to work according to your convenience. We have flexible working hours and you can work for top U.S. firms from the comfort of your home.

Great compensation
Great compensation

Working with top U.S. corporations, Turing developers make more than the standard market pay in most nations.

How much does Turing pay their AI/ML/Data engineers?

At Turing, every AI/ML/Data engineer is allowed to set their rate. However, Turing will recommend a salary at which we know we can find a fruitful and long-term opportunity in AI/ML/Data engineering for you. Turing’s recommendations are based on our analysis of current market conditions and the demand that we see from our customers.

Frequently Asked Questions

We are a Palo Alto-based 'deep' jobs platform allowing talented software developers to work with top US firms from the comfort of their homes. We are led by Stanford alumni and successful A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

It is the combination of our core business model and values that makes us different from others. We provide full-time, long-term projects to remote developers whereas most of our competitors offer more freelance jobs.

No, the service is absolutely free for software developers who sign up.

Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

View more FAQs

Latest posts from Turing


In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

Explore remote developer jobs

Check out the best jobs for May 2024here

Work full-time at top U.S. companies

Create your profile, pass Turing Tests and get job offers as early as 2 weeks.