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Tensorflow Jobs in Ohio (NOW HIRING)

PyTorch and/or TensorFlow * Hugging Face, Ollama, or similar frameworks * Experience with data engineering concepts, including: * Feature engineering and dataset preparation * Data versioning tools ...

PyTorch and/or TensorFlow * Hugging Face, Ollama, or similar frameworks * Experience with data engineering concepts, including: * Feature engineering and dataset preparation * Data versioning tools ...

PyTorch and/or TensorFlow * Hugging Face, Ollama, or similar frameworks * Experience with data engineering concepts, including: * Feature engineering and dataset preparation * Data versioning tools ...

python developer

Columbus, OH · On-site

$47 - $64.75/hr

TensorFlow or PyTorch (preferred) AWS Cloud (Must Have) * AWS Lambda * Amazon EC2 * Amazon S3 * Amazon API Gateway * Amazon Bedrock * Amazon SageMaker * Amazon RDS * Amazon DynamoDB * AWS IAM

Gen AI Developer Intern

Columbus, OH · On-site

$18 - $23.75/hr

... TensorFlow, Keras, PyTorch, Flask, Django, AWS Sagemaker, AWS Bedrock and Azure - ML Studio, cognitive services & OpenAI. • Understanding of ethical considerations and biases in AI systems. Skills:

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

Gen AI Developer Intern

Dublin, OH · On-site

$18.50 - $24.50/hr

... TensorFlow, Keras, PyTorch, Flask, Django, AWS Sagemaker, AWS Bedrock and Azure - ML Studio, cognitive services & OpenAI. • Understanding of ethical considerations and biases in AI systems. Skills:

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 ...

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Showing results 1-20

Tensorflow information

See Ohio salary details

$35.7K

$116.7K

$186.8K

How much do tensorflow jobs pay per year?

As of Jul 14, 2026, the average yearly pay for tensorflow in Ohio is $116,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $129,300.00 per year, depending on experience, location, and employer.

What is a TensorFlow job?

A TensorFlow job typically involves developing, training, and deploying machine learning models using TensorFlow, an open-source AI framework. Responsibilities may include data preprocessing, building neural networks, optimizing model performance, and integrating models into applications. These roles are common in industries like healthcare, finance, and autonomous systems, requiring skills in Python, deep learning, and TensorFlow's ecosystem.

What are typical daily responsibilities for someone working in a TensorFlow Developer role?

As a TensorFlow Developer, your day-to-day responsibilities often include designing and building machine learning models, preprocessing data, conducting model training and evaluation, and deploying models to production environments. You may also work closely with data scientists, software engineers, and product managers to identify use cases, define project requirements, and optimize system performance. Regular tasks can involve using tools for data visualization, debugging, and performance tuning, as well as keeping up with the latest advancements in machine learning techniques. Collaboration and clear communication are key, as projects often require input and feedback from multiple technical and non-technical stakeholders.

What are the key skills and qualifications needed to thrive in the Tensorflow position, and why are they important?

To thrive in a TensorFlow Developer role, you need strong programming skills in Python, deep learning knowledge, and hands-on experience with TensorFlow and related AI frameworks. Familiarity with tools like Keras, TensorBoard, and cloud platforms such as Google Cloud is often required, and TensorFlow Developer certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help professionals navigate complex projects and collaborate effectively with cross-functional teams. These skills and qualities ensure the successful design, deployment, and optimization of machine learning models in real-world applications.

What are the most commonly searched types of Tensorflow jobs in Ohio? The most popular types of Tensorflow jobs in Ohio are:
Infographic showing various Tensorflow job openings in Ohio as of July 2026, with employment types broken down into 1% Internship, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $116,687 per year, or $56.1 per hour.
Data Scientist - Cincinnati, OH/ Pittsburgh, PA/ Detroit, MI/ Chicago, IL/ Nashville, TN.

Data Scientist - Cincinnati, OH/ Pittsburgh, PA/ Detroit, MI/ Chicago, IL/ Nashville, TN.

TechniPros, LLC

Cincinnati, OH • On-site

Other

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


Job description

Role: Data Scientist
Location: Cincinnati, OH/ Pittsburgh, PA/
Detroit, MI/ Chicago, IL/ Nashville, TN.
Long term Contract
Looking for W2 candidates. No C2C

Job Description:

Responsibilities:

  • Recommender Systems Development. Design and improve recommender systems for customer experience. Develop models that combine user behavior, product data, and contextual signals. Partner with engineering to deploy and iterate on models in production.
  • AI & LLM-driven Systems. Apply Generative AI models to enhance personalization and customer facing features. Design hybrid systems that combine structured ML models with LLM-generated outputs. Evaluate AI-driven outputs using business and user-centric metrics.
  • Experimentation & Measurement. Design and run A/B tests and segmentation-based experiments. Develop measurement frameworks for personalization. Translating results into actionable insights and model improvements.
  • Data & Workflow Development. Build and curate datasets to support ML and AI applications. Identify opportunities to make data more usable for AI-driven systems. Partner with engineering teams to develop scalable pipelines.
  • Cross-functional Collaboration. Work closely with product owners, engineers, and data scientists to define and deliver solutions. Communicate technical findings clearly to both technical and non-technical audiences. Operate with high ownership in ambiguous, fast-moving environment.

Requirements:

  • Bachelor s/Master s degree or equivalent in computer science, data science, statistics, mathematics, analytics, or related discipline.
  • 2+ years of proven experience building deep learning models for large-scale recommender systems.
  • Proficiency in ML frameworks such as TensorFlow or PyTorch.
  • Proficiency in SQL, Python and Spark for data analysis and manipulation. Experience working with Databricks is a plus.
  • Proficiency with statistics, design of experiments, exploratory data analysis, and insights generation.
  • Experience working with LLMs or Generative systems in applied settings.
  • Experience working with cloud platforms like Azure or Google Cloud Platform.
  • Experience working with Data Engineering and MLOps is desirable.
  • High level of independence to develop and own toolkits, pipelines, and dashboards.
  • Excellent problem-solving skills and a proactive approach to addressing challenges.
  • Strong analytical and critical thinking skills with attention to detail.
  • Prior experience in the retail or e-commerce industry is a plus.
  • Must be able to learn from others and work collaboratively as part of a highly interdependent team.
  • Ability to communicate complex ideas effectively to both technical and non-technical stakeholders.

Best Regards:

Tina
Phone:
Email: