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Tensorflow Pytorch Jobs in Columbus, OH (NOW HIRING)

Whiz Global LLC

ML Engineer

Columbus, OH · On-site

Strong understanding of TensorFlow , PyTorch , or Scikit-learn . * Experience with Deep Learning, NLP, or Computer Vision. * Experience with distributed model training and high-throughput inference ...

Eisneramper Llp

AI Solution Architect

Columbus, OH · On-site +1

$60.75 - $80.25/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

Columbus, OH · On-site +1

$60.75 - $80.25/hr

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

Vertiv Co

AI Architect

Westerville, OH

$60.75 - $80/hr

Proficiency in programming languages such as Python, Java, or C++, and familiarity with popular AI libraries and frameworks (e.g., TensorFlow, PyTorch, Keras) * Certification or training in ...

Vertiv Group Corp.

AI Architect

Westerville, OH · On-site

$60.75 - $80/hr

Proficiency in programming languages such as Python, Java, or C++, and familiarity with popular AI libraries and frameworks (e.g., TensorFlow, PyTorch, Keras) * Certification or training in ...

MCKESSON

Senior AI Full stack Software Engineer

Columbus, OH · On-site +1

$131K - $218K/yr

Familiarity with OpenAI, Hugging Face, PyDantic AI, TensorFlow, PyTorch, and healthcare-specific AI libraries. * Communication & Leadership: Ability to communicate complex AI concepts to clinical and ...

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How much do tensorflow pytorch jobs pay per year?

As of Jul 30, 2026, the average yearly pay for tensorflow pytorch in Columbus, OH is $118,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $131,400.00 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 Columbus, OH? For Tensorflow Pytorch jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Tensorflow Pytorch jobs in Columbus, OH look for? The top searched job categories for Tensorflow Pytorch jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Tensorflow Pytorch jobs? Cities near Columbus, OH with the most Tensorflow Pytorch job openings:
Tensorflow Pytorch jobs near you

AI Engineer, Senior - Enterprise Value Creation (NJUS)

NetJets

Columbus, OH • On-site

$100K - $138K/yr

Full-time

Re-posted yesterday

NetJets rating

8.3

Company rating: 8.3 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

12th of 64 rated aviation services

Job description

Job Summary:
NetJets is the global private aviation leader for more than 60 years, providing exceptional benefits and growth opportunities. The Senior AI Engineer will be responsible for designing, building, and deploying advanced AI systems that unlock measurable value, combining technical expertise with a focus on business impact.
Responsibilities:
• Design, implement, and optimize AI/ML models, including generative AI, predictive analytics, and automation solutions.
• Own the full lifecycle of AI projects—from data ingestion and model training to deployment and monitoring in production environments.
• Build robust, scalable, and secure AI systems leveraging cloud-native technologies and modern MLOps practices.
• Rapidly prototype new ideas, evaluate emerging technologies, and translate them into practical applications.
• Work closely with business leaders, data engineers, and analysts to ensure solutions align with strategic objectives.
• Ensure models meet performance, fairness, and ethical standards while adhering to data governance policies.
Qualifications:
Required:
• Bachelor's in Computer Science or related field
• 4-6 years of experience
• Expert-level proficiency in Python and common AI/ML frameworks (TensorFlow, PyTorch, Hugging Face)
• Strong experience with LLMs, generative AI, and prompt engineering
• Deep understanding of data engineering, feature pipelines, and distributed computing
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
• Strong problem-solving skills and ability to translate business needs into technical solutions
• Experience in MLOps, CI/CD for ML, and model monitoring at scale
Preferred:
• Master’s or Ph.D. preferred
• 6+ years of experience in AI/ML engineering, with a proven track record of deploying models in production
Company:
NetJets is the worldwide leader in private aviation and provides the safest and most secure private aviation solutions. It is a sub-organization of Berkshire Hathaway. Founded in 1964, the company is headquartered in Columbus, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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