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Pytorch Developer Jobs in Cleveland, OH (NOW HIRING)

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Python AI Engineer

Cleveland, OH · On-site

Strong proficiency in Python programming and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Transformers). * Hands-on experience with Azure OpenAI models and APIs. * Solid understanding ...

Bespoke Labs

Machine Learning Engineer

Cleveland, OH · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

SCATR Corp.

Artificial Intelligence Engineer

Cleveland, OH

$111K - $133K/yr

Collaborate with the DevOps team to automate build, deployment and testing processes. * Assist in ... Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn ...

Penske

Staff Data Scientist

Beachwood, OH · On-site

Oversee the full model lifecycle: data exploration, feature engineering, model development ... PyTorch, TensorFlow). * Strong applied expertise across core ML techniques, including regression ...

Penske

Staff Data Scientist

Beachwood, OH · On-site

Oversee the full model lifecycle: data exploration, feature engineering, model development ... PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression ...

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

Oversee the full model lifecycle: data exploration, feature engineering, model development ... PyTorch, TensorFlow). * Strong applied expertise across core ML techniques, including regression ...

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

Oversee the full model lifecycle: data exploration, feature engineering, model development ... PyTorch, TensorFlow). * Strong applied expertise across core ML techniques, including regression ...

Deloitte

FDE Senior Manager

Cleveland, OH · On-site

Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a ... Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation. Relevant certifications ...

Philips

Research Scientist-Computed Tomography

Orange, OH · On-site

$114K - $183K/yr

Uses a system-level engineering approach to develop new medical imaging systems features ... Experience with machine learning frameworks such as PyTorch and TensorFlow preferred, with the ...

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Pytorch Developer information

What is a PyTorch Developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What are the key skills and qualifications needed to thrive as a Pytorch Developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are some common challenges Pytorch Developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.
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