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Pytorch Developer Jobs in Cleveland, OH (NOW HIRING)

Flexjet

AI Engineer

Cleveland, OH

... PyTorch, scikit-learn) Solid understanding of algorithms, data structures, and software engineering principles Experience with data processing tools (e.g., Pandas, NumPy, SQL) Familiarity with cloud ...

Flexjet

AI Engineer

Cleveland, OH

... PyTorch, scikit-learn) · Solid understanding of algorithms, data structures, and software engineering principles · Experience with data processing tools (e.g., Pandas, NumPy, SQL) · Familiarity ...

Flexjet

AI Engineer

Cleveland, OH · On-site

... PyTorch, scikit-learn) • Solid understanding of algorithms, data structures, and software engineering principles • Experience with data processing tools (e.g., Pandas, NumPy, SQL) • Familiarity ...

Adbakx LLC

Python AI Engineer

Cleveland, OH · On-site

Required Skills and Experience Strong proficiency in Python programming and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Transformers). Hands-on experience with Azure OpenAI models ...

Flexjet

Machine Learning Engineer

Cleveland, OH

In this role, you will work alongside experienced engineers and data scientists to build, deploy ... Experience with libraries such as scikit-learn, TensorFlow, or PyTorch (academic or project-based)

New

Flexjet

Machine Learning Engineer

Cleveland, OH · On-site

In this role, you will work alongside experienced engineers and data scientists to build, deploy ... Experience with libraries such as scikit-learn, TensorFlow, or PyTorch (academic or project-based)

Flexjet

Machine Learning Engineer

Cleveland, OH

In this role, you will work alongside experienced engineers and data scientists to build, deploy ... Experience with libraries such as scikit-learn, TensorFlow, or PyTorch (academic or project-based)

New

Flexjet

AI Engineer

Cleveland, OH · On-site

... PyTorch, scikit-learn) • Solid understanding of algorithms, data structures, and software engineering principles • Experience with data processing tools (e.g., Pandas, NumPy, SQL) • Familiarity ...

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 ...

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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 are popular job titles related to Pytorch Developer jobs in Cleveland, OH? For Pytorch Developer jobs in Cleveland, OH, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Cleveland, OH look for? The top searched job categories for Pytorch Developer jobs in Cleveland, OH are:
What cities near Cleveland, OH are hiring for Pytorch Developer jobs? Cities near Cleveland, OH with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in Cleveland, OH as of August 2026, with employment types broken down into 79% Full Time, 6% Part Time, 1% Temporary, and 14% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Machine Learning Engineer

Genius Business Solutions

Cleveland, OH

$95K - $130K/yr

Full-time

Posted 22 hours ago

Posted today

Job description


About Genius Business Solutions Inc. (GBSI)

Featured in CNBC, Digital Journal, Fox News, and CIO Review, GBSI is a globally recognized IT services leader with 20+ years serving Fortune 500 organizations. Our teams deliver solutions across automotive, manufacturing, retail, and pharmaceutical industries. Headquartered in Moline, IL, GBSI supports clients and consultants throughout the US, Canada, Europe, and India.

Join our innovative team to lead enterprise-grade SAP solutions and drive digital transformation initiatives across global enterprises.

Job Summary

The Senior Machine Learning Engineer will design, build, and deploy enterprise-scale ML models and pipelines using Python, TensorFlow/PyTorch, and cloud platforms (AWS/Azure/GCP). This role involves end-to-end ML system development, including data preparation, model training, optimization, and production deployment with MLOps practices.

Primary Skills: Python, Machine Learning, TensorFlow, PyTorch, MLOps, AWS/Azure/GCP, Docker, Kubernetes
Required Skills
• Strong Python expertise with NumPy, Pandas, Scikit-learn.
• Hands-on experience with TensorFlow and/or PyTorch.
• Experience building and deploying ML solutions on AWS, Azure, or GCP.
• Knowledge of ML pipelines, model evaluation, CI/CD, version control, and MLOps practices.
• Strong understanding of ML system design, performance optimization, and monitoring.
Preferred Skills
• Experience with MLflow, SageMaker, Azure ML or similar MLOps platforms.
• Knowledge of Docker, Kubernetes, Spark, or Ray.
• Experience with LLMs, Deep Learning, Transformers, Vector Databases, and ML Governance.
• Prior experience leading ML projects or mentoring teams.
Key Responsibilities
• Design, build, deploy, and maintain ML models and end-to-end ML pipelines.
• Perform data preparation, feature engineering, model training, evaluation, and optimization.
• Deploy and monitor models in production, including model drift detection and retraining.
• Collaborate with data engineering, DevOps, and business teams to deliver scalable ML solutions.
• Architect enterprise-scale ML systems and drive MLOps, automation, governance, and reliability initiatives.
• Mentor engineers, provide technical leadership, and evaluate emerging AI/ML technologies.

Equal Employment Opportunity

GeniusBSI is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.