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Tensorflow Pytorch Jobs in Columbus, OH (NOW HIRING)

Diverse Lynx

Ai/Ml Architect

Marysville, OH

$58.50 - $75.25/hr

Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit learn). * Experience with IaC tools (AWS CDK, Terraform, CloudFormation). * Deep understanding of ML algorithms, LLMs ...

Vertiv Group Corp.

Principal AI Engineer

Delaware, OH · On-site

Python, ML frameworks (TensorFlow, PyTorch, scikit-learn) * Data engineering and MLOps tools * Model validation, testing, and deployment practices * Experience deploying AI/ML models in embedded ...

Vertiv Co

Principal AI Engineer

Delaware, OH · On-site

Python, ML frameworks (TensorFlow, PyTorch, scikitlearn) * Data engineering and MLOps tools * Model validation, testing, and deployment practices * Experience deploying AI/ML models in embedded ...

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 ...

Accenture

Knowledge Engineer Specialist

Columbus, OH · On-site

$70K - $205K/yr

... Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) * Practical experience with NLP and/or Search techniques * Prompt engineering, and LLMs for enterprise-scale ...

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Tensorflow Pytorch information

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$36.2K

$118.6K

$189.8K

How much do tensorflow pytorch jobs pay per year?

As of Jun 20, 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/Ml Architect

Ai/Ml Architect

Diverse Lynx

Marysville, OH

$58.50 - $75.25/hr

Other

Posted 12 days ago

Job description

Job Title: Senior AI/ML Tech Lead/Architect
Location: Marysville , Ohio or Torrance, CA
Duration: 6+ Months of Contract with Possible Extension
Roles and Responsibilities:
  • 10+ years of experience in AI/ML, data engineering, or cloud architecture.
  • Strong hands on experience with AWS AI/ML services including SageMaker, Bedrock, Glue, Redshift, Kinesis, Lambda, and Lake Formation.
  • Proficiency in Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit learn).
  • Experience with IaC tools (AWS CDK, Terraform, CloudFormation).
  • Deep understanding of ML algorithms, LLMs, embeddings, vector search, and model optimization.
  • Proven experience building production grade MLOps pipelines.
Code Review & Engineering Leadership
  • Demonstrated ability to review, refactor, and improve developers' code.
  • Strong understanding of software engineering principles, design patterns, and testing practices.
  • Experience mentoring engineering teams and enforcing coding standards.
Leadership & Advisory Skills:
  • Excellent communication skills with the ability to influence technical and executive stakeholders.
  • Experience in consulting, customer advisory, or enterprise architecture roles.
  • Ability to translate complex technical concepts into business value.
Preferred Qualifications
  • AWS certifications (ML Specialty, Solutions Architect Professional).
  • Experience with generative AI, LLM fine tuning, and RAG architectures.
  • Background in industry specific AI use cases (finance, healthcare, retail, manufacturing).
  • Experience leading multi disciplinary teams across data, ML, and cloud engineering.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

Social media

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