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PyTorch Skills Test- Hire the top PyTorch experts

A PyTorch Skills Test is an evaluation conducted to measure an individual's knowledge and proficiency using the PyTorch framework. PyTorch is an open-source machine learning library that provides an efficient platform for building and training deep learning models. The skills test consists of questions and tasks that assess the test-taker's understanding of PyTorch's core concepts and their usage for model development, data preprocessing, training, and evaluation.

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Inside this PyTorch Skills Assessment

The PyTorch Skills Test is an invaluable resource for organizations seeking to recruit top-tier talent in machine learning, artificial intelligence, and deep learning. As the demand for skilled professionals in these domains continues to rise, this assessment plays a crucial role in hiring. Facebook's AI Research lab has developed PyTorch. It is mainly used for applications like computer vision and Natural Language Processing. The PyTorch library can be used with both Python and C++ languages. 

Pytorch makes implementing complex models, such as those with branching or loops easy and makes debugging and optimizing PyTorch code easier. It uses the primary and familiar programming paradigms and is easy to use and flexible, focusing on providing support for training and inference on graphical processing units (GPUs). 

PyTorch encompasses a range of high-level libraries, tools, and pre-trained models that can be fine-tuned for various tasks. The PyTorch Skills Test evaluates candidates' proficiency in PyTorch, assessing their ability to work with neural networks, conduct deep learning experiments, and apply PyTorch to solve real-world problems. It covers essential skills such as model creation, training, and evaluation, enabling hiring managers to identify candidates capable of developing innovative AI solutions that drive business growth. Ensuring prospective hires possess practical skills to tackle complex projects effectively is paramount. The PyTorch Skills Test assesses candidates' theoretical knowledge and ability to apply PyTorch in practical scenarios, ensuring that organizations secure professionals who can leverage the power of PyTorch to build robust and scalable AI solutions. Whether for roles in data science, AI research, or machine learning engineering, the PyTorch Skills Test is critical in creating a skilled and competitive workforce in the ever-evolving landscape of artificial intelligence.


The need for a PyTorch Skills Test arises from the growing demand for professionals with expertise in deep learning and specifically in using the PyTorch framework. PyTorch has gained significant popularity as an open-source machine-learning library due to its flexibility, ease of use, and extensive community support. As deep learning continues to advance and find applications in various industries, there is a need to assess individuals' skills and knowledge in using PyTorch. A PyTorch Skills Test provides a standardized and efficient way to evaluate candidates' proficiency in utilizing PyTorch for model development, training, and deployment. By conducting a PyTorch Skills Test, organizations can ensure that their workforce possesses the necessary skills to contribute effectively to deep learning projects and stay competitive. 

The demand for PyTorch skills tests is driven by the increasing adoption of PyTorch in academia, research, and industry. PyTorch is widely used by researchers, data scientists, and machine learning practitioners for developing and training deep learning models. Additionally, the demand for PyTorch skills tests is fueled by the need for certified PyTorch professionals who can demonstrate their expertise and differentiate themselves in the job market.

PyTorch Skills Test competency framework

Get a detailed look inside the test

PyTorch competencies under scanner


The skills include competencies such as functions, classes, objects, tensors and transforms, sensors, deep learning in Pytorch, neural networks, building models using Pytorch, datasets, image classifiers, audio IO, and data loaders.

Customize this PyTorch Skills Test

Flexible customization options to suit your needs

Set difficulty level of test

Choose easy, medium or hard questions from our skill libraries to assess candidates of different experience levels.

Combine multiple skills into one test

Add multiple skills in a single test to create an effective assessment. Assess multiple skills together.

Add your own questions to the test

Add, edit or bulk upload your own coding questions, MCQ, whiteboarding questions & more.

Request a tailor-made test

Get a tailored assessment created with the help of our subject matter experts to ensure effective screening.

The Mercer | Mettl PyTorch Skills Assessment advantage

The Mercer | Mettl Edge
  • Industry Leading 24/7 Support
  • State of the art examination platform
  • Inbuilt Cutting Edge AI-Driven Proctoring
  • Simulators designed by developers
  • Tests Tailored to Your business needs
  • Support for 20+ Languages in 80+ Countries Globally

PyTorch Skills Test can be setup in four steps

Step 1: Add test

Add this test your tests

Step 2: Share link

Share test link from your tests

Step 3: Test View

Candidate take the test

Step 4: Insightful Report

You get their tests report

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Frequently Asked Questions (FAQs)

The PyTorch Skills Test evaluates an individual's proficiency using the PyTorch framework for deep learning. It assesses their knowledge and practical skills in model creation, training, evaluation, and applying PyTorch to solve real-world problems.

The PyTorch Skills Test is typically conducted online or through an assessment tool. Candidates are presented with questions and tasks that require them to show their understanding and application of PyTorch. This may include coding exercises, multiple-choice questions, or practical scenarios where candidates must solve problems using PyTorch.

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