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Pytorch Jobs in Ohio (NOW HIRING)

Germany, United Kingdom Posted: 10 months ago Technische Anforderungen * Erfahrung mit modernen ML/DL-Frameworks wie TensorFlow, PyTorch, Pandas, Numpy (lokal und/oder in der Cloud) * Fundierte ...

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Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain. * Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or ...

Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain. * Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or ...

$109K - $131K/yr

... or PyTorch). • Academic or internship experience in machine learning, AI, or data-driven projects. • Solid understanding of algorithms, data structures, and machine learning concepts. • ...

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Pytorch information

See Ohio salary details

$73.6K

$131.9K

$189.2K

How much do pytorch jobs pay per year?

As of Aug 8, 2026, the average yearly pay for pytorch in Ohio is $131,926.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,154.00 and $161,342.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the PyTorch position, and why are they important?

To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.

What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?

As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.

What is a PyTorch job?

A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

What are the most commonly searched types of Pytorch jobs in Ohio? The most popular types of Pytorch jobs in Ohio are:
What cities in Ohio are hiring for Pytorch jobs? Cities in Ohio with the most Pytorch job openings:
Infographic showing various Pytorch job openings in Ohio as of August 2026, with employment types broken down into 18% Internship, and 82% Full Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $131,926 per year, or $63.4 per hour.

Data Scientist mit Schwerpunkt Engineering (m/w/d) in Germany - Ypsomed Produktion GmbH

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Posted 3 days ago

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Job description

Data Scientist mit Schwerpunkt Engineering (m/w/d)

Location: Germany, United Kingdom

Posted: 10 months ago

Technische Anforderungen
  • Erfahrung mit modernen ML/DL-Frameworks wie TensorFlow, PyTorch, Pandas, Numpy (lokal und/oder in der Cloud)
  • Fundierte Kenntnisse in der Entwicklung von Datenprodukten und ETL-Prozessen mit Tools wie Python, R, MATLAB, SQL, C++, C#, Node.js oder JavaScript
  • Vertraut mit Cloud-Tools und ETL
Technologie-Stack
  • Cloud Tools
  • TensorFlow
  • Node.js
  • R
  • SQL
  • NumPy
  • MATLAB
  • Python
  • ETL
  • JavaScript
  • PyTorch
  • C Frameworks
Compensation

Competitive

Role Type

Full time

Visa Sponsorship

Not provided

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