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Tensorflow Pytorch Jobs in Ohio (NOW HIRING)

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 ...

Experience with frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face. * Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services. * Knowledge of data ...

AI Engineer

Edison, OH · On-site

$90.60K - $108.80K/yr

Proficiency in programming languages such as Python, R, or Java, and experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn. * Excellent analytical and problem-solving ...

AI Engineer

Cincinnati, OH

$109.90K - $132K/yr

Proficiency in programming languages such as Python, R, or Java, and experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn. * Excellent analytical and problem-solving ...

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Tensorflow Pytorch information

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.

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 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.

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:

Software Engineer with Security Clearance

GRVTY

Dayton, OH • Hybrid

Other

Posted 9 days ago


Job description

What You'll Be Owning: Join GRVTY's mission-focused team as a Software Engineer advancing data processing and analytic capabilities. In this role, you'll develop, integrate, and optimize software that drives real-time intelligence production and research innovation. Design and develop software tools that process, analyze, and visualize large-scale PIR and GEOINT data.

Collaborate with analysts and data scientists to automate complex workflows using Python and modern frameworks. Integrate AI/ML algorithms and statistical models into production environments. Support rapid prototyping and scripting to transition capabilities from research to operations.

Participate in user acceptance testing, documentation, and technical presentations. What You Must Have: * Bachelor's degree in Computer Science, Engineering, or a related field (advanced degree preferred). * Active TS/SCI Clearance required Experience with Python, Java, C++, or similar languages for data-driven applications.

* Familiarity with containerization (Docker, Kubernetes) and cloud or hybrid architectures. * Understanding of data pipelines, APIs, and database integration (SQL/NoSQL). What Would Be Nice to Have: * 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 posting is for a position that is part of a proposal or future opportunity.

While this role is not currently funded, we anticipate openings in the near future. Our recruiting team will contact qualified candidates as positions become available.