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Pytorch Developer Jobs in Cleveland, OH (NOW HIRING)

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 ...

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 ...

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 ...

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

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

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

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

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

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.
What cities near Cleveland, OH are hiring for Pytorch Developer jobs? Cities near Cleveland, OH with the most Pytorch Developer job openings:
Python AI Engineer

Python AI Engineer

HR Pundits

Cleveland, OH • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

About the Job:

You will be aligned with our long-standing client in the Python AI Engineer. The candidate should be aware of the latest trends in this industry as are applicable from a domain and technological perspective

Role: Python AI Engineer

Location: Cleveland, Ohio (Onsite)

Duration: Fulltime/ Contract

Note: Need profiles

Job Summary:

Mandatory skills : LLM, RAG, Agentic AI, AI Chatbot, Python and Azure.

We are seeking a skilled Python AI Engineer with strong expertise in developing, fine-tuning, and deploying AI models leveraging Azure OpenAI services. The ideal candidate will design scalable and production-ready AI solutions that address diverse business requirements such as text generation, summarization, and sentiment analysis.

Required Skills :

  • 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 of MLOps concepts, version control, and CI/CD pipelines.

  • Familiarity with data preprocessing, prompt engineering, and performance tuning.

  • Excellent problem-solving and analytical skills.


About HR PUNDITS Inc.

HRP is a trusted partner to leading implementation partners and customers, recognized for our commitment to quality resourcing and sustainable business growth. We prioritize customer success and work collaboratively to drive growth, ensuring that each engagement delivers impactful results and long-term value