ZipRecruiter

Log In

1

Tensorflow Pytorch Jobs in Cleveland, OH (NOW HIRING)

Flexjet

AI Engineer

Cleveland, OH · On-site

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

Flexjet

AI Engineer

Cleveland, OH · On-site

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

Flexjet

AI Engineer

Cleveland, OH · On-site

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

Flexjet

AI Engineer

Cleveland, OH · On-site

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

SCATR Corp.

Artificial Intelligence Engineer

Cleveland, OH · On-site

$111K - $133K/yr

Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, Caffe, Keras, or similar * Knowledge of data preprocessing techniques and tools. * Familiarity ...

Goosehead

Data Scientist

Westlake, OH

Expertise in Python and machine learning libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). * Deep experience with SQL and manipulating large-scale datasets across structured and ...

Eisneramper Llp

AI Solution Architect

Cleveland, OH · On-site +1

$61 - $80.50/hr

TensorFlow, PyTorch, Scikit-learn, Transformers * Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate * DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes About EisnerAmper:

Lindsay & Brownell

AI Solution Architect

Cleveland, OH · On-site +1

$61 - $80.50/hr

TensorFlow, PyTorch, Scikit-learn, Transformers * Vector Databases: Azure Cosmos DB, Pinecone, or Weaviate * DevOps & MLOps: Azure DevOps, GitHub Actions, Docker, Kubernetes About EisnerAmper:

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 ...

Echo IT Solutions, Inc.

Python AI Engineer

Cleveland, OH · On-site

Mandatory 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 ...

New

next page

Showing results 1-20

All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Cleveland, OH

Tensorflow Pytorch information

See Cleveland, OH salary details

$36.4K

$119K

$190.6K

How much do tensorflow pytorch jobs pay per year?

As of Aug 2, 2026, the average yearly pay for tensorflow pytorch in Cleveland, OH is $119,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,500.00 and $131,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Deep Learning Engineer specializing in TensorFlow and PyTorch, and why are they important?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.
What are popular job titles related to Tensorflow Pytorch jobs in Cleveland, OH? For Tensorflow Pytorch jobs in Cleveland, OH, the most frequently searched job titles are:
What job categories do people searching Tensorflow Pytorch jobs in Cleveland, OH look for? The top searched job categories for Tensorflow Pytorch jobs in Cleveland, OH are:
What cities near Cleveland, OH are hiring for Tensorflow Pytorch jobs? Cities near Cleveland, OH with the most Tensorflow Pytorch job openings:
Tensorflow Pytorch jobs near you

AI Engineer

Flexjet

Cleveland, OH • On-site

Other

Posted 27 days ago

Flexjet rating

8.2

Company rating: 8.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

17th of 63 rated aviation services

Job description

POSITION SUMMARY

Flexjet is seeking a skilled and innovative AI Engineer to design, develop, and deploy machine learning and artificial intelligence solutions. You will work closely with data scientists, software engineers, and product teams to build scalable AI systems that drive business value and enhance user experiences.

DUTIES & RESPONSIBILITIES

Design and develop machine learning and deep learning models for real-world applications

Build, test, and deploy AI/ML pipelines in production environments

Collaborate with cross-functional teams to translate business needs into AI solutions

Optimize model performance, scalability, and reliability

Work with large datasets: preprocessing, feature engineering, and data validation

Implement APIs and integrate AI models into existing systems

Monitor model performance and retrain as needed

Stay up to date with the latest advancements in AI and machine learning

REQUIRED SKILLS & QUALIFICATIONS

Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field

Strong programming skills in Python (and/or Java, C++)

Experience with machine learning frameworks (e.g., TensorFlow, 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 platforms (AWS, Azure, or Google Cloud)

Knowledge of RESTful APIs and microservices architecture

PREFERRED QUALIFICATIONS

Experience with NLP, computer vision, or generative AI

Familiarity with MLOps tools (e.g., Docker, Kubernetes, CI/CD pipelines)

Experience deploying models at scale in production environments

Knowledge of big data technologies (e.g., Spark, Hadoop)

Understanding of AI ethics and responsible AI practices

Problem-solving and analytical thinking

Strong communication and collaboration skills

Ability to work in a fast-paced, agile environment

Attention to detail and commitment to quality

What Flexjet employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply