Remote senior AI/ML engineer jobs

We, at Turing, are looking for qualified remote senior AI/ML engineers who will be responsible for collecting, cleaning, and preprocessing data using AI/ML algorithms for implementing, scaling, and maintaining code to power production systems. Get an opportunity to work with the leading U.S. companies and rise quickly through the ranks.

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Job description

Job responsibilities

  • Implement advanced machine learning, deep learning and NLP/NLU techniques
  • Collaborate with AI researchers, AI engineers, product managers to ideate software solutions, run experiments and create new market-fit products
  • Contribute to containerization, orchestration, and DevOps implementation for quick delivery and better maintenance of cutting-edge AI solutions
  • Apply corporate SDLC and support CI/CD deployment of the microservices to develop and deliver software solutions
  • Demonstrate functionality, applicability and performance of the end products
  • Stump out unnecessary complexities and make complex AI/ML topics clear and accessible to business owners
  • Define, develop, and maintain data augmentation pipelines
  • Coordinate with cross-functional teams to set plans, ideas and deliverables and mentor junior developers/engineers

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, Applied Statistics, Mathematics (or equivalent experience)
  • At least 5+ years of experience working as an AI/ML engineer (rare exceptions for highly skilled engineers)
  • Solid knowledge of machine learning, artificial intelligence, and software engineering principles
  • Strong understanding of machine learning algorithms for regression, classification, clustering, and data modeling
  • Expertise in handling production using deep learning frameworks like TensorFlow, PyTorch, and workflow tools like Kubeflow
  • Stay abreast with the latest trends in AI/ML technologies
  • Experience in one or more programming languages, including Python and R
  • Strong grasp on English language for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Knowledge of advanced software tools, libraries, languages as well as image recognition and GPU
  • Ability to measure, understand, and debug integrated systems
  • Hands-on experience in Frequentist and Bayesian statistics
  • Working experience with Git and DevOps tools
  • Knowledge of Spark and Databricks platforms
  • Experience with Cloud services like Azure, AWS, or GCP
  • Strong working experience in Agile/Scrum environment
  • Exceptional time management and leadership skills
  • Great interpersonal and communication skills

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How to become a remote senior AI/ML engineer?

Artificial intelligence (AI) and machine learning are already shaping our future. With their increasing prominence, the demand for qualified developers is also increasing. AI and ML are two buzzwords that are widely used interchangeably right now. They aren't the same, yet the common idea can lead to confusion. Remote senior AI/ML engineer jobs are rising as more firms worldwide embrace automation. If you have enough experience and have fine-tuned your AI/ML skillset, you can become a top AI/ML developer. AI/ML development is a safe and well-paying remote job alternative.

AI/ML developers are focused on researchers, planners, and manufacturers of self-running Artificial Intelligence systems to automate predictive models. Remote AI/ML engineer jobs also include designing and constructing AI algorithms capable of learning and generating predictions that explain Machine Learning. Rather than relying on a set of processes, it allows engineers to learn from the data put into machine learning algorithms.

Before you apply for remote senior AI/ML engineer jobs, let's take a look at some more details about it.

What is the scope in senior AI/ML development?

Since AI/ML engineer jobs are in high demand across industries, they provide career security and a multitude of opportunities. The growing number of AI startups and increased interest in the subject among existing firms is a result of the global demand for AI/ML technologies and applications. The number of AI startup acquisitions has increased dramatically since 2010, approximately quadrupling between 2015 and 2018.

According to a study, increase in AI startup acquisitions have been mirrored by increases in AI startup investment, which has climbed from over a billion dollars in 2013 to 8.5 billion dollars in the first quarter of 2020. Since high-skilled AI/ML developers are continually in demand across industries, remote AI/ML developer job postings are rarely unfilled.

What are the roles and responsibilities of a senior AI/ML engineer?

After landing remote senior AI/ML engineer jobs, the following are some of the most important responsibilities.

  • Develop a Machine Learning algorithm to capture the UX team's whiteboard sketches of website layouts and turn them into final layouts for the Software development team.
  • By speeding up feedback loops for website UX changes, use the technique to help businesses save a lot of time and money
  • Use data from several HotJar users and machine learning algorithms to find prevalent hazards and causes of user distraction.
  • Create a model that links HotJar and A/B testing data with data and statistics from Google Analytics. It will assist in the design of better layouts, resulting in more time spent on the site, increased client acquisition, and so on.
  • Evaluate the efficacy of various layouts advised by the UX team

How to become a senior AI/ML engineer?

Despite the high level of competence and experience required for these programming jobs, anyone with a genuine interest in the field—and the ability to accomplish at least some of the prior responsibilities of a senior AI/ML developer can get remote senior AI/ML engineer jobs.

There are a few options for acquiring the necessary skills for a senior AI/ML developer. You can begin by enrolling in college, which is the most popular option. A computer science degree will offer you a solid foundation and credentials when it comes to entering the field. College is expensive, and the time it takes to complete it is a disadvantage. Furthermore, if you don't earn strong marks in high school, you may be unable to enroll in a college that can help you find senior AI/ML engineer jobs.

Enrolling in a boot camp program is another option. The focus will be on teaching you the languages you'll need to apply for remote senior AI/ML engineer jobs in person or online. Depending on the boot camp, this may be a less expensive and faster choice than a three- or four-year degree.

Whatever path you take to become a remote senior AI/ML engineer, you can be confident that you'll have a bright future and plenty of job opportunities ahead of you.

Interested in remote senior AI/ML engineer jobs?

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Skills required to become a senior AI/ML engineer

The first step in landing high-paying senior AI/ML engineer jobs is to learn the necessary skills. Let's take a closer look at each of the technical skills.

1. Programming languages

The ability to work with various programming languages is an important skill to land remote senior AI/ML engineer jobs. According to GitHub, the top 10 machine learning languages are Python, C++, JavaScript, Java, C#, Julia, Shell, R, TypeScript, and Scala.

2. Data developing

The pre-processing and archiving of raw data generated by AI/ML systems is one of the most important steps in the development of these systems. When new data is generated, the AI/ML developer must create ETL (Extract, Transform, Load) pipelines to process, cleanse, and store it to be accessed by other processes like analytics and predictions. Data scientists must be able to recognize data models and connect data science resolutions to software development principles for AI/ML developers.

3. Data analysis

The ability to perform experimental data analysis on a dataset to identify unexpected patterns in data, define specific aberrations, and test hypotheses are essential to perform better in the interviews for remote senior AI/ML engineer jobs. You should be able to generate summary statistics for a dataset, create graphical representations that allow for easy data visualization, clean and prepare data for modeling, perform feature development to obtain more information from the dataset. So on to improve the ML models you develop.

4. Models

You'll need to be an expert in machine learning techniques and their optimal use cases to be excellent at AI/ML development. Furthermore, to execute increasingly challenging jobs like photo categorization, item identification, face recognition, machine translation, conversation synthesis, and so on, you'll need a deep understanding of intricate algorithms based on artificial neural networks. So, you need to master this skill to get hired for the best remote senior AI/ML engineer jobs.

5. Security

Security is a key task for AI/ML systems, as it is for any other software solution. While substantial data preparation is required for Machine Learning models, data access should be limited to just authorized personnel and applications. At all costs, data security is a skill that must be learned before you apply for remote senior AI/ML engineer jobs.

6. Experience with real-world projects

Another crucial aspect of becoming an AI/ML developer is recognizing when and how to apply your technical expertise to practical tasks and assignments. Completing an AI/ML development project from beginning to end and documenting it in your portfolio will help you pitch your skills and knowledge to potential employers, allowing you to land those remote senior AI/ML engineer jobs you've always desired.

Interested in remote senior AI/ML engineer developer jobs?

Become a Turing developer!

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How to get remote senior AI/ML engineer jobs?

We've seen the qualifications needed for remote senior AI/ML engineer jobs. The most important thing is to give your best when you practice. New technological advancements are transforming sectors every day. As it becomes more popular, more people will enter the field, increasing your competition. If you stay up with current industry trends, advancing your profession won't be tough.

Turing has the best remote senior AI/ML engineer jobs to help you achieve your AI/ML engineer objectives. You'll also have the opportunity to polish your skills by working on challenging technological problems with other bright engineers. Join a global network of the best senior AI/ML engineers to find full-time, long-term remote senior AI/ML engineer jobs with higher income and professional advancement.

Why become a senior AI/ML engineer at Turing?

Elite U.S. jobs
Elite U.S. jobs

Long-term opportunities to work for amazing, mission-driven U.S. companies with great compensation.

Career growth
Career growth

Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.

Exclusive developer community
Exclusive developer community

Join a worldwide community of elite software developers.

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

Turing's commitments are long-term and full-time. As one project draws to a close, our team gets to work identifying the next one for you in a matter of weeks.

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 senior AI/ML engineer?

At Turing, every senior AI/ML 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 to grow your senior AI/ML engineer career. Our recommendations are based on our analysis of existing 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.

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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.

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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.

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