Remote TensorFlow developer jobs

We, at Turing, are looking for talented remote TensorFlow developers to build end-to-end deep learning and machine learning models for a range of assignments. Accelerate your career with an opportunity to work on long-term and full-time projects with the best Silicon Valley companies.

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Job description

Job responsibilities

  • Develop intricate software for different projects, such as regression, computer vision, natural language processing, time series forecasting, etc.
  • Collaborate with internal teams and clients to understand user requirements
  • Draft initial proposal and software design as per requirement
  • Assist the team in acquiring data, training models, solving the predictions and finding out the featured outcomes
  • Train, build and deploy machine learning/deep learning models for various platforms (desktop, web, mobile, and cloud)
  • Design and build software applications following user specifications

Minimum requirements

  • Bachelor’s/Master’s degree in computer science, engineering (or equivalent experience)
  • 3+ years of experience in machine learning (rare exceptions for highly skilled developers)
  • Experience with programming languages like Python, Java, R, and C++
  • Demonstrable expertise in modeling data analysis using Jupyter notebook
  • Extensive experience across the python data science stack, including NumPy, Pandas, Scikit-Learn, Pytorch, TensorFlow/Keras, SciPy, Matplotlib
  • Hands-on experience with NLP, deep learning, traditional supervised and unsupervised learning methods, etc.
  • Experience working with interactive user interfaces, DataFlow graphs, OCR, TensorFlow chatbots, ICR, and other complex computations
  • Proficiency in relational databases and SQL

Preferred skills

  • Understanding of the mathematical foundations of ML (linear algebra, calculus, applied probability)
  • Basic familiarity with neural networks, SDLC, Agile methodology, and CI/CD concepts
  • Great problem-solving and communication skills
  • Ability to work independently with minimal supervision

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How to become a TensorFlow developer ?

TensorFlow is an open-source machine learning platform that runs from start to finish. It features a large, flexible ecosystem of tools, libraries, and community resources that enable researchers to push the boundaries of machine learning and developers to quickly build and deploy ML-powered apps. TensorFlow was created by researchers and engineers at Google's Machine Intelligence Research organization's Google Brain team to undertake machine learning and deep neural network research. The system is generic enough to be used in a variety of other fields as well.
The neural networks are built and trained by the developers using the TensorFlow framework. Interactive user interfaces, TensorFlow chatbots, OCR, ICR, dataflow graphs, and other complicated computations are used by TensorFlow developers to design and maintain systems and applications.

What is the scope of TensorFlow development?

TensorFlow software is constantly being updated, and it is expected to grow rapidly in the coming years. Machine learning modeling is frequently seen as the future's most promising technology. It is used for research by Bloomberg, Google, Intel, DeepMind, GE HealthCare, eBay, and other major corporations. They're well-known for their work in big companies, academia, and, most notably, Google products. They, too, have migrated to the cloud and mobile devices for their job.

Cloud-based technology and big data, according to the tensor community, are continuing to rise at a rapid rate in the market for deep learning approaches. Learning TensorFlow is expected to be in high demand if you want to be a deep learning expert. It provides a better career path since they are more skilled at dealing with complex data learning difficulties. It answers a wide range of artificial intelligence problems, which means it creates a lot of job opportunities for data analysts. A lot of career-oriented training institutes offer this training to ensure that candidates are industry-ready.

What are the roles and responsibilities of a TensorFlow developer?

TensorFlow developer jobs include creating learning methods, gathering data, implementing training methods, analyzing predictions, and eventually obtaining future results. A sequential neural network can be developed in Python with just one line of code. The example data sets are then trained and executed in the browser utilizing the.js extension with the help of JavaScript. The primary responsibilities of TensorFlow developers are as follows –

  • Algorithms for machine learning and deep learning are being developed.
  • Statistics, probability, matrix multiplications, linear algebra, calculus, and discrete mathematics are examples of mathematics.
  • Programming languages such as Python, R, C++, and Java are used.
  • The fundamental concept of neural networks.
  • Data and business analytics expert
  • Work with the ideas of the software development life cycle, Agile methodology, and continuous integration and deployment (CI/CD).
  • Using massive sets of business data to analyze and extract relevant information
  • Using TensorFlow to write well-structured code
  • From concept through deployment, prototyping machine learning models using high-level modeling languages like R or Python.
  • ML experiments are being run to determine the best processing capability.
  • Developing and testing application software to ensure its accuracy and efficiency.
  • Working together on initiatives including machine learning, artificial intelligence, and deep learning across their entire lifecycle.
  • Assisting in the troubleshooting or identification of problems, as well as suggesting potential solutions.

How to become a TensorFlow developer?

Participation in the TensorFlow certification examination is required to become a TensorFlow developer. This certificate is a foundational credential for students, developers, and data scientists who want to demonstrate practical machine learning skills by building and training models with TensorFlow.

A bachelor's or master's degree in related subjects such as computers, mathematics, statistics, and physics, among others, is required for a formal qualification. You'll also need computer programming skills, knowledge of the project and software development life cycles, as well as agile methodology with continuous integration and delivery. You'll have to learn how to train a neural network model. This means you must understand how to train the model with billions of data points. Need to be familiar with GPU-accelerated deep learning frameworks, as this allows for the creation of more new models without the need for hard coding. Python and R are two programming languages that you should be familiar with.

In addition to the core technical skills, applying for jobs with an informative Tensorflow developer resume should make the process simpler.

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Skills required to become a TensorFlow developer

The first step is to gain the core skills that will help you land a high-paying TensorFlow developer job. Let's see what else you need to know!

1. Machine learning

Machine learning now is not the same as machine learning in the past, thanks to advances in computing technology. It was inspired by pattern recognition and the idea that computers may learn without being taught to execute certain tasks; artificial intelligence researchers sought to investigate if computers could learn from data. The iterative feature of machine learning is crucial because models can evolve independently as they are exposed to fresh data. They use past computations to provide consistent, repeatable judgments and outcomes. It's a science that's not new, but it's gaining new traction.

2. Python

Google developed and released TensorFlow, a Python toolkit for fast numerical computing. It is a foundation library that can be used to develop Deep Learning models directly or via wrapper libraries built on top of TensorFlow to make the process easier. If you already have a Python SciPy environment, installing TensorFlow is simple. Python 2.7 and Python 3.3+ are supported by TensorFlow. On the TensorFlow website, you can find Download and Setup instructions. The easiest way to install PyPI is to use the pip command, which is detailed on the Download and Setup webpage for your Linux or Mac OS X platform.

3. Deep learning

Deep learning gives higher recognition accuracy than ever before. This enables consumer electronics to satisfy user expectations, which is vital for safety-sensitive applications such as self-driving cars. Deep learning has progressed to the point where it now outperforms humans in some tasks, such as categorising objects in photographs. Deep learning models are sometimes referred to as deep neural networks because most deep learning approaches use neural network designs. The number of hidden layers in a neural network is commonly referred to as "deep." Deep neural networks can have up to 150 hidden layers, whereas traditional neural networks only have 2-3.

4. Pandas

Pandas is a widely used open-source Python library for data science, data analysis, and machine learning activities. It is built on top of NumPy, a library that supports multi-dimensional arrays. Pandas, as one of the most popular data wrangling programmes, is normally included in every Python distribution, from those that come with your operating system to commercial vendor versions like ActiveState's ActivePython.

5. NumPy

NumPy (Numerical Python) is a library that consists of multidimensional array objects and a collection of functions for manipulating them. NumPy allows you to conduct mathematical and logical operations on arrays. NumPy is a Python scripting language. 'Numerical Python' is what it stands for. To get a TensorFlow developer job, you should learn NumPy because it makes performing mathematical operations on it a breeze. Complex mathematical operations such as sqrt, mean, and median can also be performed using the built-in mathematical functions.

6. Matplotlib

Matplotlib is a multi-platform data visualisation package based on NumPy arrays and intended to operate with the SciPy stack as a whole. It was created by John Hunter in 2002 as a patch to IPython to allow interactive MATLAB-style graphing from the IPython command line using gnuplot. Matplotlib may be used interactively from the Python shell, with charting windows appearing as people write commands. It may also be used to create inline charts and run Jupyter notebooks for rapid data analysis. Developers can also utilise Matplotlib to create rich apps using graphical user interfaces like PyQt or PyGObject.

7. Seaborn

Seaborn is a Python package based on matplotlib that is open-source. It's used for exploratory data analysis and data visualization. With dataframes and the Pandas library, Seaborn is a breeze to use. The graphs that are created can also be readily altered.


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How to get remote TensorFlow developer jobs?

Athletes and developers have a lot in common. They must practice efficiently and consistently in order to excel at their craft. A Programming Language is, without a doubt, a must-have ability for aspiring Software Developers. No organisation wants to hire or entertain a software engineer who doesn't know how to code or programme! One of the finest ways to receive exposure to computer programming and examine your skills is to participate in coding challenges and competitions. Not only that, but your participation and rankings in these programming competitions may help you acquire a software developer job at your ideal firm.

Turing has the top remote TensorFlow developer jobs that fit your TensorFlow developer work goals. Working on difficult technological and business problems with cutting-edge technologies will help you grow quickly. Get a full-time, long-term remote TensorFlow developer job with greater income and career progression by joining a network of the world's greatest developers.

Why become a TensorFlow developer at Turing?

Elite US jobs
Elite US 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

Join a worldwide community of elite software developers.

Great compensation
Great compensation

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

How much does Turing pay their TensorFlow developers?

Every TensorFlow developer at Turing is free to determine their own rate. Turing, on the other hand, will recommend a wage at which we are confident we can offer you a rewarding and long-term opportunity. Our suggestions are based on our analysis of market conditions and the demand we perceive from our clients.

Frequently Asked Questions

TensorFlow is an open-source AI library developed using data flow graphs to build models. It enables developers to build large-scale and multi-layer neural networks with ease.

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.

TensorFlow is one of the most popular deep learning libraries used with multiple applications in various industries. It can be used for developing applications for voice and image recognition, text apps, time series and also video detection.

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.

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.

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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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