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Pytorch Jobs in Columbus, OH (NOW HIRING)

The Hartford

Sr Applied AI Data Scientist

Columbus, OH

$110.72K - $166.08K/yr

Strong foundation in ML, deep learning, NLP; familiarity with PyTorch/TensorFlow and generative AI. * Experience with cloud tools (Google Vertex AI, AWS SageMaker/Bedrock). * Ability to build ...

Purple Drive Technologies

Lead AI-ML Engineer

Westerville, OH · On-site

$98.80K - $130.10K/yr

... PyTorch, TensorFlow). • Solid understanding of Data Science with a heavy focus on statistical modeling and Machine Learning, hypothesis testing, regression analysis, and variance modeling. • ...

JPMorganChase

Risk Program Senior Associate

Columbus, OH · On-site

... PyTorch, Spark, or Scala, coupled with experience in big data technologies such as Hadoop, AWS, and Hive, and familiarity with MLOps tooling that supports model monitoring, drift detection, and end ...

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Maximus

AI/ML Software Developer

Columbus, OH · Remote

... PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated ...

Vertiv

AI Architect

Westerville, OH · On-site

$60.75 - $80/hr

... PyTorch, Keras) • Certification or training in artificial intelligence, machine learning, or data science. • Experience in working with big data technologies, such as Hadoop, Spark, Kafka, etc ...

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How much do pytorch jobs pay per year?

As of May 29, 2026, the average yearly pay for pytorch in Columbus, OH is $138,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,739.00 and $169,199.00 per year, depending on experience, location, and employer.

What is a PyTorch job?

A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

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

To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.

What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?

As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.
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Pytorch jobs near you
Senior Data Scientist, Recommender Systems

Senior Data Scientist, Recommender Systems

Judge Group, Inc.

Columbus, OH

$60 - $65/hr

Other

Posted 16 hours ago

Job description

Location: Columbus, OH
Salary: $60.00 USD Hourly - $65.00 USD Hourly
Description:
Job Title: Senior Data Scientist
Location: Cincinnati, OH, 45202 (5 days onsite)
Type: 12+ Months Contract
The ideal candidate will have proven track record of developing deep learning models, expertise in ML frameworks such as TensorFlow or PyTorch, and a strong understanding of various recommendation models and techniques.
Requirements
  • 2+ years of proven experience building deep learning models for large-scale recommender systems.
  1. Proficiency in ML frameworks such as TensorFlow or PyTorch.
  1. Proficiency in SQL, Python and Spark for data analysis and manipulation. Experience working with Databricks is a plus.
  1. Proficiency with statistics, design of experiments, exploratory data analysis, and insights generation.
  1. Experience working with cloud platforms like Azure or Google Cloud Platform.
  1. Experience working with Data Engineering and MLOps is desirable.
  1. High level of independence to develop and own toolkits, pipelines, and dashboards.
  1. Excellent problem-solving skills and a proactive approach to addressing challenges.
  1. Strong analytical and critical thinking skills with attention to detail.
  1. Prior experience in the retail or e-commerce industry is a plus.
  1. Must be able to learn from others and teach others and work collaboratively as part of a highly interdependent team.
  1. Ability to communicate complex ideas effectively to both technical and non-technical stakeholders.

Key Responsibilities
  • Design, develop, and implement recommender systems tailored to grocery retail and e-commerce personalization needs.
  1. Build advanced machine learning and deep learning models to deliver personalized product, coupon, substitute, and recipe recommendations.
  1. Define evaluation methods and key metrics to measure recommender system performance and identify areas for improvement.
  1. Conduct A/B testing and offline model evaluations to compare recommendation strategies and improve model outcomes.
  1. Perform root cause analysis and model interpretability reviews to understand recommendation results and improve accuracy.
  1. Improve personalization by incorporating customer preferences, dietary needs, shopping behaviors, and engagement patterns.
  1. Explore recommendation diversity strategies that expose customers to a broader range of relevant products while maintaining accuracy.
  1. Partner with ML engineers to support model deployment, serving, versioning, and production pipeline best practices.
  1. Collaborate with data scientists, data engineers, full stack engineers, product teams, and business stakeholders to deliver data science solutions.
  1. Integrate transactional, customer, product, demographic, and user feedback data to support model development and analytics.
  1. Build customer analytics pipelines, reporting dashboards, and performance tracking to monitor recommendation effectiveness over time.
  1. Document best practices, technical insights, lessons learned, and model development approaches for internal knowledge sharing.
  1. Contribute to internal tools, libraries, and documentation that support adoption and maintenance of recommender system solutions.
  1. Participate in knowledge-sharing sessions and technical discussions to support continuous learning across the team.

By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
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This job and many more are available through The Judge Group. Please apply with us today!

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