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Pytorch Jobs in Cleveland, OH (NOW HIRING)

Experience with libraries such as scikit-learn, TensorFlow, or PyTorch (academic or project-based) * Understanding of data structures and algorithms fundamentals * Basic knowledge of SQL and data ...

New

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 ...

Experience with libraries such as scikit-learn, TensorFlow, or PyTorch (academic or project-based) * Understanding of data structures and algorithms fundamentals * Basic knowledge of SQL and data ...

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 ...

Experience with libraries such as scikit-learn, TensorFlow, or PyTorch (academic or project-based) * Understanding of data structures and algorithms fundamentals * Basic knowledge of SQL and data ...

New

... 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 ...

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

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

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

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Pytorch information

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$75.3K

$135K

$193.6K

How much do pytorch jobs pay per year?

As of Aug 8, 2026, the average yearly pay for pytorch in Cleveland, OH is $134,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,317.00 and $165,048.00 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 job categories do people searching Pytorch jobs in Cleveland, OH look for? The top searched job categories for Pytorch jobs in Cleveland, OH are:
What cities near Cleveland, OH are hiring for Pytorch jobs? Cities near Cleveland, OH with the most Pytorch job openings:
Infographic showing various Pytorch job openings in Cleveland, OH 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 $134,956 per year, or $64.9 per hour.

Machine Learning Engineer

Genius Business Solutions

Cleveland, OH

$95K - $130K/yr

Full-time

Posted yesterday

New


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.