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Tensorflow Pytorch Jobs in Columbus, OH (NOW HIRING)

Deloitte

Data Scientist

Columbus, OH · On-site

Experience with deep learning frameworks like TensorFlow or PyTorch. * Familiarity with cloud platforms such as AWS, Azure, or GCP. * Experience with data visualization tools like Tableau or Power BI.

Eliassen Group

Senior AI/ML Engineer

Columbus, OH · Remote

$90 - $100/hr

Strong Python skills with TensorFlow and PyTorch. * Proven AWS expertise including Bedrock, Lambda, ECS, SQS, SNS; additional experience with S3, ELB/ALB, Aurora RDS preferred. * Experience with ...

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$36.2K

$118.6K

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How much do tensorflow pytorch jobs pay per year?

As of Jun 19, 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 Machine Learning Principal Engineer

AI Machine Learning Principal Engineer

American Honda Motor

Raymond, OH

Other

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

American Honda Motor rating

7.2

Company rating: 7.2 out of 10

Based on 439 frontline employees who took The Breakroom Quiz

25th of 44 rated automakers

Job description

What Makes a Honda, is Who makes a Honda
Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint."
We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.
If your goals and values align with Honda's, we want you to join our team to Bring the Future!
Job Purpose
Lead the design, development, and deployment of advanced AI and machine learning solutions supporting Honda's automotive R&D initiatives, with a focus on production-grade AI for vehicle development, simulation, manufacturing quality, and digital twins-owning solutions end-to-end and mentoring engineers while partnering with CAE, CAD, manufacturing, and data platform teams.
Key Accountabilities
  • Lead development and validation of AI/ML solutions with measurable impact for automotive engineering - CAE, and manufacturing use cases.
  • Design and deploy AI surrogate models using Graph Convolutional Neural Networks (GCNNs) to augment/replace physics-based CAE.
  • Architect and deploy scalable cloud-based AI systems on AWS/Azure aligned with enterprise governance.
  • Own the full AI lifecycle: data ingestion, feature engineering, training, evaluation, deployment, and monitoring.
  • Implement MLOps and GenAIOps best practices (versioning, drift detection, CI/CD, traceability).
  • Develop and deploy agentic AI solutions for CAE in the cloud and deploy AI agents to execute/augment/monitor workflows.
  • Support ETL activities related to ADC data (CAE) structure.
  • Establish design standards, code quality, and documentation to support reuse and auditability.
  • Mentor and technically guide mid-level and junior engineers.
Qualifications, Experience, and Skills
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field, or equivalent experience.
  • 8+ years of experience developing and deploying ML/AI systems; 3+ years in production environments.
Other Job-Specific Skills
  • Hands-on experience with graph neural networks (GCNNs, GNNs, GATs, MPNNs)
  • Advanced proficiency in Python; C++ or Java is a strong plus for automotive contexts
  • Deep expertise in ML frameworks (PyTorch, TensorFlow, scikit-learn)
  • Strong foundation in statistics, optimization, and numerical methods
  • Hands-on experience deploying AI solutions on AWS/Azure (e.g., Amazon Bedrock)
  • Experience with LangGraph / LangChain & Strands SDK.
  • Experience with containers, pipelines, and MLOps tooling (Docker, MLflow, CI/CD)
  • Knowledge of model governance, compliance, and responsible AI frameworks
  • CAE/physics-informed ML, surrogate modelling, or simulation experience (preferred).
  • Prior knowledge of automotive or related design engineering work is a plus.
Job Dimensions
Decisions Expected
Working Conditions
  • Work is primarily conducted at an office desk; hybrid (office/home) work may be available.
  • Occasional travel and overtime may be required based on project milestones.
  • Work in a cross-functional environment supporting engineering, simulation, and manufacturing stakeholders.
What differentiates Honda and makes us an employer of choice?
Total Rewards:
  • Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
  • Regional Bonus (when applicable)
  • Manager Lease Car Program (No Cost - Car, Maintenance, and Insurance included)
  • Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)
  • Paid time off, including vacation, holidays, shutdown
  • Company Paid Short-Term and Long-Term Disability
  • 401K Plan with company match + additional contribution
  • Relocation assistance (if eligible)
Career Growth:
  • Advancement Opportunities
  • Career Mobility
  • Education Reimbursement for Continued learning
  • Training and Development Programs
Additional Offerings:
  • Lifestyle Account
  • Childcare Reimbursement Account
  • Elder Care Support
  • Tuition Assistance & Student Loan Repayment
  • Wellbeing Program
  • Community Service and Engagement Programs
  • Product Programs

Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

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