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Pytorch Developer Jobs in Cleveland, OH (NOW HIRING)

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

AI Solutions Engineering Delivery Lead

Cleveland, OH · On-site

$99K - $130K/yr

... PyTorch, Langchain, Semantic Kernel, SQL, vector DBs, LLMs, and prompt engineering - Proven specialization with major cloud platforms such as AWS, Azure, or Google Cloud Platform, with cloud ...

Proficiency in Python, LangChain, Hugging Face, PyTorch. * Experience with Azure (OpenAI, ML, DevOps) and Snowflake (Snowpark, ML, Cortex). * Strong understanding of RAG, vector databases, and prompt ...

New

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 ...

AI Solution Architect

Cleveland, OH · On-site +1

$61 - $80.50/hr

Programming Languages: Python, C#, JavaScript/TypeScript, SQL * AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Transformers * Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate * DevOps & ...

Hands-on experience developing, validating, and deploying AI/ML solutions to solve scientific, engineering, or business problems. * Experience with modern AI frameworks such as PyTorch, TensorFlow ...

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Showing results 21-40

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 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 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 cities near Cleveland, OH are hiring for Pytorch Developer jobs?

Cities near Cleveland, OH with the most Pytorch Developer job openings:

Infographic showing various Pytorch Developer job openings in Cleveland, OH as of August 2026, with employment types broken down into 80% Full Time, 5% Part Time, and 15% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

AI Engineer Intern

Strongsville, OH

Full-time, Internship

Posted 15 days ago


Job description

 Union Home Mortgage’s L.E.A.D Internship Program’s goal is to provide a fun, interesting, and real-world environment for our interns to Learn about the industry, be Educated by Sr. Leadership and their peers, Achieve their personal goals and Develop their skills and knowledge base. We pride ourselves in providing innovative programs for our interns in order for them to learn and grow they progress through their careers. Some of the programs we offer include: shadowing, mentoring, professional development, group projects and we even take our interns on corporate outings! Our internship program gives students a chance to meet new people, gain more experience, and learn from the best in the business! Our interns are treated like full-time Partners who work 40 hours a week during the 3-month summer program, are compensated, and based out of headquarters in Strongsville, Ohio. 

An AI Engineer Intern will support the research, development, and evaluation of artificial intelligence solutions designed to improve mortgage operations, including loan origination, servicing, workflow efficiency, and customer experiences.
In this role, you will apply foundational knowledge of machine learning, neural networks, Transformer architectures, large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI systems to real-world business challenges. Working alongside experienced engineers and business stakeholders, you will research technical approaches, develop prototypes, test and evaluate AI systems, and help determine where AI can meaningfully improve processes and reduce manual effort.

DUTIES & RESPONSIBILITIES 

  • Research & Develop AI Solutions – Explore and prototype AI/ML solutions that improve business processes and customer experiences 

  • Automate Repetitive Tasks – Identify opportunities to apply AI and automation to reduce manual effort 

  • Build & Improve AI Workflows – Assist in developing LLM, RAG, agentic, and traditional machine learning workflows 

  • Test & Evaluate Solutions – Evaluate AI outputs for accuracy, reliability, performance, and appropriate business use 

  • Support Responsible AI – Assist with safeguards, testing, documentation, and human-in-the-loop processes 

  • Collaborate Across Teams – Work with technical and business stakeholders to understand problems and develop appropriate solutions 

  • Research Emerging Technology – Stay current with developments in AI, machine learning, LLMs, and related technologies and evaluate their potential application 

  • Basic to intermediate programming proficiency in Python and familiarity with software development concepts  

  • Foundational understanding of machine learning, including supervised/unsupervised learning, training and validation, loss functions, optimization, overfitting, generalization, and model evaluation  

  • Foundational understanding of neural networks and deep learning, including layers, weights, activation functions, forward propagation, backpropagation, and gradient-based learning  

  • Ability to explain the fundamentals of Transformer architectures, including attention/self-attention, tokens, embeddings, context windows, and autoregressive generation  

  • Understanding of tokenization and embeddings, including how text is represented for LLMs and how embeddings support semantic search and retrieval  

  • Familiarity with large language models (LLMs), including pretraining, inference, prompting/context engineering, tool calling, model limitations, hallucinations, and evaluation  

  • Familiarity with RAG, fine-tuning, and model adaptation, including the high-level differences between prompting, retrieval, and fine-tuning approaches  

  • Interest in AI agents and agentic workflows, including tool use, state, memory, routing, and orchestration; exposure to LangGraph, LangChain, or similar frameworks is a plus  

  • Exposure to AI/ML libraries or frameworks such as PyTorch, TensorFlow, Hugging Face, scikit-learn, NumPy, or pandas is preferred  

  • Strong analytical, problem-solving, communication, and technical research skills with the ability to explain how and why an AI system works, not simply how to use it 

EDUCATION & EXPERIENCE 

  • Currently pursuing a bachelor's or graduate degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Computer Engineering, Software Engineering, Mathematics, Statistics, or a related technical discipline  

  • Relevant coursework in artificial intelligence, machine learning, deep learning, natural language processing, algorithms, statistics, probability, linear algebra, or calculus is preferred  

  • Foundational understanding of the mathematical and computational principles underlying modern AI and machine learning  

  • Experience through coursework, research, independent study, personal projects, hackathons, open-source contributions, or previous internships is welcomed  

  • Demonstrated ability to research technical concepts, experiment with different approaches, evaluate results, and clearly communicate findings  

  • A GitHub profile, AI/ML project, research project, technical portfolio, or similar demonstration of technical work is preferred  

  • Prior professional AI engineering or machine learning experience is not required 

Applications are accepted on a rolling basis and positions are open until filled (this may be prior to the job posting expiration date). 

At UHM, we understand diversity comes in many different forms. It’s our commitment to improve inclusion in the workplace through programs and policies that establish a positive and inclusive environment where every Partner, regardless of their background, can grow and excel. We value diversity, educate on equity, and create inclusive partner opportunities to ensure that you know #UBelongAtUHM! 

This employer participates in E-Verify. If hired, the employer will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. 

Union Home Mortgage Corp. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.