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Tensorflow Pytorch Jobs in Columbus, OH (NOW HIRING)

McKesson

AI Full stack Software Engineer

Columbus, OH · Remote

$110.30K - $183.80K/yr

Proficiency in Python and AI related python libraries such asopenai,tensorflow,pytorch * AI System Evaluation & Optimization: Proficient in sensitivity metrics (precision, recall, F1-score, AUC-ROC ...

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. • ...

Tata Consultancy Services

Gen AI Developer Intern

Dublin, OH

$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:

Vertiv Co

Advanced Thermal Controls Engineer

Westerville, OH

$80.50K - $104.10K/yr

TensorFlow, Keras, Scikit-learn, PyTorch, Nvidia AI Labs * LabView and associated Data Acquisition systems and protocols * Familiarity with software development environments and tools: * Git, GitHub ...

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How much do tensorflow pytorch jobs pay per year?

As of May 30, 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.

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 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.

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 Full stack Software Engineer

AI Full stack Software Engineer

McKesson

Columbus, OH • Remote

$110.30K - $183.80K/yr

Full-time

Posted 10 days ago

McKesson rating

7.8

Company rating: 7.8 out of 10

Based on 199 frontline employees who took The Breakroom Quiz

39th of 70 rated pharmaceutical

Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

We are seeking a highly skilled and motivated AI Full Stack Software Engineer to join our innovative team at CMM. In this role, you will be instrumental in designing, developing, and deploying end-to-end AI-powered solutions that enhance our healthcare products and services. You will work across the full stack, from front-end user interfaces to back-end AI model integration and data pipelines.

Responsibilities

  • Develop and deliver AI-driven enterprise quality software applications.

  • Build scalable applications integrating Large Language Models and other AI tools (e.g. voice recognition, document parsing, image parsing, text to speech, RAG) into new and legacy codebases

  • Design and optimize data pipelines and datasets for AI system development and testing.

  • Communicate modern AI concepts (LLMs, vector databases etc.) to non-technical audiences

  • Iteratively craft effective prompts to maximize LLM performance and implement prompt caching strategies

  • Maintain prompt libraries & benchmark performance

  • Fine-tune & serve GPT-family, Llama

  • Develop AI agents Semantic Kernel

  • Prototype co-pilot experiences & autonomous workflows

  • Fully document all work at both the code level and application level.

  • The ability to learn and adapt in a changing environment.

  • Collaborate with other staff and outside stakeholders on large projects.

  • Must be passionate about creating solutions and solving complex problems.

Minimum Qualifications

  • Minimum 4+ years of experience in Software development.

  • B.S. degree in Computer Science or related engineering discipline, or equivalent experience

Critical Skills

  • Minimum 4+ years of experience in developing AI-enhanced applications using LLMs, voice, image, or speech models.

  • Proficiency in Python and AI related python libraries such asopenai,tensorflow,pytorch

  • AI System Evaluation & Optimization: Proficient in sensitivity metrics (precision, recall, F1-score, AUC-ROC) andMLOpsfor scalable, cost-efficient AI deployment.

  • RAG Development: Skilled in building RAG systems from scratch or withLangChain/LlamaIndex, using vector databases for context-aware LLM applications.

  • Experience using AI coding tools (e.g.GithubCopilot, Cursor,Codeium/Windsurf)

  • LLM Cost Optimization: Expert in managing LLM costs (token pricing, input/output rates) via prompt caching, batching, and quantization.

  • LLM Knowledge: Deep understanding of LLM advancements (GPT-3.5 vs GPT-4 vs o1/"thinking" models) for informed model selection and tuning.

Preferred Skills

  • Exceptional analytical skills to extract actionable insights from data

  • Healthcare Domain Expertise, Translate clinical/business needs into AI solutions

  • Proficiency in creating Node.js web apps (e.g. Express.js)

  • Experience with cloud (AWS/GCP/Azure)

  • Effective communication skills to collaborate with technical, DevOps and product management teams.

  • Experience with Git, Docker, and Kubernetes

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

$110,300 - $183,800

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

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