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Tensorflow Pytorch Jobs in Ohio (NOW HIRING)

... 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 ...

$75 - $95/hr

TensorFlow, PyTorch, Scikit-Learn). * Erfahrung im Daten-Engineering (ETL, Datenaufbereitung, Feature Engineering) sowie in MLOps-Workflows. * Kenntnisse in Deployment-Technologien (Docker ...

Hands-on experience with frameworks like TensorFlow, PyTorch, or JAX. * Technical Skills : * Strong programming skills in Python; familiarity with Rust or other languages is a plus. * Proficiency in ...

Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face. * Strong analytical and problem-solving skills with a keen eye for detail. * Excellent ...

Senior Machine Learning Engineer

Cincinnati, OH · On-site

$100K - $137K/yr

Proficiency in Python and modern machine learning ecosystems, including frameworks such as TensorFlow, PyTorch, Scikit-learn, LangChain, Semantic Kernel, or equivalent technologies. * Strong ...

New

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 ...

Showing results 21-40

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 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:

Technical Software Lead with Security Clearance

Altamira

Dayton, OH • On-site

Other

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


Job description

Position Description We are seeking a Technical Software Lead with a mix of talent in areas related to full-stack development. As part of our team, you will provide next-gen algorithm development, legacy software support, and web development services. Our ideal candidate would possess a broad range of skills as our scope of work spans various technologies, including C++, Python, JavaScript, React, Angular, and others. Altamira Technologies Corporation encourages independent problem-solving and provides deep reach-back support and a collaborative environment for our engineering team. We are looking for candidates who have experience with developing and are not afraid to adapt to the right architecture, languages, and libraries to build the best systems for the mission and deliver the best user experience. Location: Dayton OH  Role and Responsibilities  • Produce software based on desired functionality provided by users and analysts • Interpret mission needs and requirements to produce user-friendly software systems • Leverage continuous integration to create sustainable and maintainable software • Interact with teammates and users through whiteboard sessions and/or design documents to establish circular feedback Education and Experience Desired • Bachelor’s in Computer Science, Computer Engineering, Electrical Engineering, or Aerospace Engineering is required • Strong working knowledge of React and Go • Background in High Frequency Line-of-Sight (LOS) or Bistatic Radar is a plus • Experience in multiple of the following: Java, Python, C++, Go, Rust, JavaScript, TypeScript, Angular, VueJs, NodeJS, OpenAPI, ArangoDB, Valkey, PostgreSQL, MinIO, Istio ServiceMesh, Redis, Knative, Kubernetes, Helm, Terraform, OpenContainer Initiative, OTEL, CMake, GitLab, and/or Kafka is desired • General experience with Artificial Intelligence/Machine Learning technologies, such as Tensorflow, PyTorch, LangChain, vLLM, PyTorch Lightning, SK Learn, LibreChat, Streamlit, KubeFlow, MLFlow, Bedrock, Fast API, Tune, Ray Train, Safe Tensors, and/or ONNX • Kubernetes Certified Application Developer (CKAD) and Certified Kubernetes Administrator (CKA) certifications are highly desired • Minimum of 10 years experience with Software Engineering Abilities and Competencies • TS/SCI clearance • Self-motivated and eager to work intently to satisfy mission requirements • Ability to independently dig into problems, uncover the root cause, and create a solution • Adaptable and has the desire to maintain our company culture • Ability to effectively communicate in both verbal and written communications • Ability to multitask and adjust priorities as needed 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.