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Tensorflow Pytorch Jobs in Ohio (NOW HIRING)

GRVTY

Software Engineer

Dayton, OH

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 ...

Altamira Technologies Corp.

AI/ML Engineer

Fairborn, OH · On-site

TensorFlow; PyTorch; Pytorch Lightning; Scikit-learn (aka SKLearn); Keras; Computer Vision; GANs * Support application packaging, versioning, and release management processes * Experience with model ...

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 ...

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Altamira Technologies Corp.

AI/ML Engineer

Fairborn, OH · On-site

TensorFlow; PyTorch; Pytorch Lightning; Scikit-learn (aka SKLearn); Keras; Computer Vision; GANs * Support application packaging, versioning, and release management processes * Experience with model ...

Tata Consultancy Services

AI Engineer

Cincinnati, OH · On-site

$109K - $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 ...

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 ...

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Tata Consultancy Services

AI Engineer

Edison, OH · On-site

$90K - $108K/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 ...

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 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.
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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
AI/ML Engineer with Security Clearance

AI/ML Engineer with Security Clearance

Altamira Technologies Corporation

Dayton, OH • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Position Overview Altamira is seeking an AI/ML Engineer to support the design, development, and deployment of AI/ML products within secure, mission-critical environments. This role focuses on building and maintaining data-driven applications. The ideal candidate brings hands-on experience developing AI/ML applications, working with business / intelligence analysts to design, implement, and test AI/ML based analytic tools using one or more of the following frameworks. Senior forms of this role include providing training to build institutional capability and self sufficiency. Key Responsibilities * Develop and optimize applications utilizing:
* TensorFlow; PyTorch; Pytorch Lightning; Scikit-learn (aka SKLearn); Keras; Computer Vision; GANs
* Support application packaging, versioning, and release management processes
* Experience with model validation and tracking
* Collaborate with platform, infrastructure, and security teams to support system requirements
* Implement best practices for scalability, reliability, and performance
* Troubleshoot application, database, and deployment issues in distributed environments
* Support continuous integration and deployment (CI/CD) pipelines
* Participate in system accreditation, compliance, and audit activities
* Document system designs, configurations, and operational procedures
Qualifications * Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
* Entry level to 10+ years of experience in software or AI/ML development roles
* Experience with the above mentioned tools and applications
* Ability to operate in secure, compliance-driven environments
* Experience developing distributed or data-intensive applications
* Experience supporting DoD or Intelligence Community programs
* Experience with CI/CD tools and automation frameworks
* Experience with MLOps
* Familiarity with Docker
* Experience with performance tuning
* Experience working in hybrid or air-gapped environment
* Python
* C/C++
* Rust Altamira is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, or protected veteran status.

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