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Tensorflow Pytorch Jobs in Ohio (NOW HIRING)

Lorven Technologies, Inc.

AI Engineer

Columbus, OH · On-site

Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn . * Hands-on experience with Generative AI , LLMs (OpenAI, Anthropic, Llama, etc.) , LangChain , and ...

Lorven Technologies

AI Engineer

Columbus, OH · On-site

Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn . * Hands-on experience with Generative AI , LLMs (OpenAI, Anthropic, Llama, etc.) , LangChain , and ...

Computacenter (UK) Ltd

$104 - $150/hr

TensorFlow, PyTorch, Kubeflow, CI/CD) und Kubernetes * Idealerweise Grundkenntnisse in Data & AI Governance * Idealerweise Erfahrung mit Hyperscalern (z. B. Azure, AWS, etc.) und relevante ...

Nordson Corporation

Software Engineer II

Amherst, OH · On-site

$90 - $130/hr

Experience with AI/ML frameworks such as TensorFlow, PyTorch, scikit-learn, or ONNX. * Familiarity with AI-assisted software development tools such as GitHub Copilot, Microsoft Copilot, or similar ...

GRVTY

Software Engineer

Dayton, OH · On-site

Experience with AI/ML frameworks (TensorFlow, PyTorch). Exposure to geospatial tools (e.g., GDAL, ArcGIS, or QGIS). * Familiarity with intelligence data types (e.g., EO/IR, SAR, or GEOINT). This ...

GRVTY

Software Engineer

Dayton, OH · On-site

Preferred : • Experience with AI/ML frameworks (TensorFlow, PyTorch). • Exposure to geospatial tools (e.g., GDAL, ArcGIS, or QGIS). • Familiarity with intelligence data types (e.g., EO/IR, SAR ...

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 LLC

AI Engineer

Cleveland, OH · On-site

$120 - $160/hr

Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit‑learn) * Solid understanding of algorithms, data structures, and software engineering principles * Experience with ...

Flexjet

AI Engineer

Cleveland, OH

... 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

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

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Tensorflow Pytorch information

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 are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

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.

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 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.

What are popular job titles related to Tensorflow Pytorch jobs in Ohio?

For Tensorflow Pytorch jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Tensorflow Pytorch jobs in Ohio look for?

The top searched job categories for Tensorflow Pytorch jobs in Ohio are:

What cities in Ohio are hiring for Tensorflow Pytorch jobs?

Cities in Ohio with the most Tensorflow Pytorch job openings:

Tensorflow Pytorch jobs near you

Machine Learning Engineer

Ruri Software Technologies LLC

Cincinnati, OH • On-site

Full-time

Posted 23 days ago

Job description

Job Title :Machine Learning Engineer (Senior Level)
Location :- Onsite: Cincinnati
Job Description:
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.
Years of Experience: 12.00 Years of Experience
Regards
Surya
surya@rurisoft.com

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