Remote ML/CV engineer jobs

We are hiring remote ML/CV engineers who will collaborate with cross-functional teams to research, analyze and process large volumes of data using image recognition, machine learning, and segmentation techniques. You will also be required to automate predictive-decision making processes, and develop system prototypes.

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Job description

Job responsibilities

  • Design, develop and test image processing algorithms
  • Design deep learning architectures
  • Design, implement and optimize machine learning algorithms

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science (or equivalent experience)
  • 3+ years of work-ex as an ML/CV engineer (rare exceptions for skilled devs)
  • Proficiency in OpenCV or CV libraries & frameworks like TensorFlow, PyTorch
  • Proficiency in programming languages such as Python, Java, or C++
  • Expertise in code versioning tools (Git, merging, branching, pull requests)
  • Fluency in the English language to collaborate with engineering managers
  • Work full-time (40 hours/week) with a 4 hour overlap with U.S. time zones

Preferred skills

  • Understanding of classification algorithms, CNNs, and related ML techniques
  • Knowledge of mathematical, statistical & programmatic details within CV
  • Familiarity in text extraction, object detection, and semantic segmentation
  • Understanding of Unix/Linux including basic commands and scripting

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How to become an ML/CV engineer?

ML/CV engineering has gained traction as firms use algorithms to build models that find connections, allowing them to make better decisions without the need for human interaction. Machine learning is a mathematical approach in which the system examines data (for example, photos, sound files, and texts) for patterns. The trick is that the algorithm determines which patterns to search for on its own (usually by analyzing thousands of examples). The system learns the rules (for detecting an elephant, for example) without manual help to write them down directly.

Machine learning technology is already widely recognized in most areas that deal with enormous amounts of data. Companies can work more effectively or gain an advantage over their competitors by gleaning insights from this data — frequently in real-time. Additionally, as they have various data sources that may be mined for insights, government entities such as public safety and utilities have a special need for ML and CV. Sensor data, for example, can be used to identify methods to improve efficiency and save money. As a result, remote ML/CV engineer jobs have grown in popularity.

What is the scope of ML/CV engineering?

ML/CV engineering is one of the best employment options in the twenty-first century. It offers greater high-paying work possibilities. Furthermore, the future scope of machine learning is on its way to causing a significant shift in the realm of automation. Therefore, you can make a good living in ML/CV engineering and contribute to the digital world's growth.

There are a variety of professions in global organizations across India and the world for those who learn ML and CV, including software engineers, electrical engineering systems analysts, data scientists or engineers, and data insight analysts. If you aspire to become an ML/CV engineer, there is no reason you should stop your step because the demand is increasing day by day.

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

An ML/CV engineer is an expert in training models with data. Image categorization, speech recognition, and market forecasting are among the operations that the models are used to automate.

When you get remote ML/CV engineer jobs, your primary responsibilities would be:

  • Designing machine learning systems.
  • Researching and implementing ML algorithms and tools.
  • Choosing the right data sets
  • Choosing the best data representation methods.
  • Identifying data distribution discrepancies that affect model performance.
  • Validating the accuracy of data.
  • Transforming and converting data science prototypes.
  • Carry out statistical analysis
  • Testing machine learning algorithms.
  • Using results to improve models.
  • Extending the capabilities of machine learning libraries.
  • Creating machine learning apps that meet the requirements of clients.

How to become an ML/CV engineer?

Learning how to code in Python is the first and most important step to become a successful developer. You can then enroll in a machine learning course. Courses are available on Coursera, Udemy, and other online learning sites. Try your hand at a personal machine learning project once you've learned the foundations. There is no alternative for hands-on experience in the real world. At the same time, start learning how to acquire the necessary data. You should also develop expertise in OpenCV or CV libraries and frameworks like TensorFlow and PyTorch.

The next step could be to join an online ML or CV group or enter a competition. You can utilize this as an opportunity to put your skills to the test and meet new people who can help you in your career. After completing your degree, you can apply for machine learning internships and jobs. During the selection process, you will be evaluated on your math, statistics, and probability expertise.

Nothing will be a hindrance if your preparation is excellent. Once you've developed your coding skills and acquired the required work experience with a proper ML/CV engineer resume, landing remote ML/CV engineer jobs will be a breeze.

Let's take a look at the skills that make an excellent ML/CV engineer.

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Skills required to become an ML/CV engineer

Learning the essential skills is the first step in securing remote ML/CV engineer jobs. Let's have a look at it now.

1. Machine learning algorithms

You should learn algorithms and know when and how to apply which algorithms. The three most common types of machine learning algorithms are supervised, unsupervised, and reinforcement learning. More common ones include the Nave Bayes Classifier, K Means Clustering, Support Vector Machine, Apriori Algorithm, Linear Regression, Logistic Regression, Decision Trees, and Random Forests. It's a good idea to acquire a basic understanding of these algorithms before beginning your career as an ML/CV engineer. After all, no developer wants to miss out on an opportunity to impress the hiring manager during remote ML/CV developer jobs interviews!

2. Data modeling and evaluation

As an ML/CV developer, you should be able to model and assess data. As you are well aware, data is your bread and butter. Data modeling requires first understanding the data's core structure and then looking for patterns that aren't evident to the naked eye. You must also assess the data using a method that is appropriate for the situation. Regression, classification, clustering, dimension reduction, and other machine learning approaches, for example, are all data-dependent. K mode is a categorical variable clustering procedure, and k is a probability clustering strategy. You must be aware of these facts about diverse methodologies to do data modeling and assessment. Firms searching for remote ML/CV developer jobs are looking for developers who have experience in this.

3. Neural networks

Nobody can deny the importance of neural networks in the life of an ML/CV engineer. The neurons are made up of various layers, including an input layer that receives data from the outside world and passes it via multiple hidden layers that transform the data into useful information for the output layer. Other neural networks include feedforward neural networks, recurrent neural networks, convolutional neural networks, modular neural networks, radial basis function neural networks, and others. While a complete understanding of these neural networks isn't required to get hired for remote ML/CV development jobs, it is crucial to understand the basics. You can always pick up the rest on your way!

4. Programming languages

To perform best in ML/CV developer jobs, you'll need to know at least one programming language. You should make sure that your programs are capable of quickly performing jobs. Recursive neural networking is a popular study topic in a variety of fields. In NLP, train models are used to construct a model based on corpora automatically. RNN is a well-known method for this.

5. CNN

CNN is a neural network that has one or more convolutional layers. It is commonly used for image processing, classification, segmentation, and other autocorrelated data. The technique of sliding a filter over an input signal is known as convolution. They're made up of neurons with weights and biases that can be learned. Each neuron receives many inputs and then computes a weighted total, which it then runs through an activation function before responding with an output.

6. OpenCV

OpenCV is an open-source library that may be used to do computer vision tasks like video analysis, CCTV footage analysis, and picture analysis. The reality is that learning OpenCV was formerly a problematic task. The documentation was difficult to understand. The tutorials were difficult to understand and incomplete. But, we have plenty of accessible resources these days.

7. Git

Git is a piece of software that lets you track changes in a collection of files. It's typically used to coordinate work among programmers working on source code together during software development. Its goals include speed, data integrity, and support for scattered, non-linear operations. The most widely used version control system is Git. Git keeps track of the changes you make to files so you can see what you've done and go back to previous versions if you need to. Git also facilitates cooperation by allowing several people's modifications to be merged into a single source.

Interested in remote ML/CV engineer jobs?

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How to get remote ML/CV engineer jobs?

Software development is one of the most flexible jobs that allows you to work from anywhere with an internet connection and a laptop. If your job allows it, you can work from home or your favorite workstation! That is precisely what working as a remote ML/CV engineer can get.

Working remotely demands being good enough for employers to hire you despite the time difference or location. Keep a productive work routine and stay on top of your technical skills to get successful ML/CV engineer jobs.

Turing has the top ML/CV engineer jobs that match your goals. To develop your career, work on complex technical and business problems with new technology. Get full-time, long-term remote ML/CV engineer jobs with excellent income and career progression by joining a network of the world's best developers.

Why become an ML/CV engineer at Turing?

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

Long-term opportunities to work for amazing, mission-driven US 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 ML/CV engineer?

Every ML/CV engineer at Turing has the option to select their rate. Turing will suggest a pay at which we are confident we can find a secure and long-term chance to move up your ML/CV engineer career. Our recommendations are based on a thorough assessment of current market conditions as well as consumer demand.

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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