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Tensorflow Pytorch Jobs in Graham, NC (NOW HIRING)

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

Exposure to machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques. * Experience with database querying (e.g., SQL). Choose Duke. Why Join DUMAC? * Impact: Play a ...

Proficiency in at least one objected-oriented programming language, preferably python with hands-on experience in ml frameworks like TensorFlow, PyTorch or Scikit-learn Required Skills * Experience ...

Develop and tune machine learning models using Python, PySpark, TensorFlow, and PyTorch. * Collaboration & Communication: Work closely with stakeholders to understand business challenges and ...

Develop and tune machine learning models using Python, PySpark, TensorFlow, and PyTorch. * Collaboration & Communication: Work closely with stakeholders to understand business challenges and ...

Required : • Expertise in Python (including NumPy, pandas, and other packages) • Experience with either PyTorch or TensorFlow • Deep understanding of machine learning fundamentals (gradient ...

Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience translating research ideas into production systems. Preferred Qualifications: * Deep experience with ...

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Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience translating research ideas into production systems. Preferred Qualifications: * Deep experience with ...

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Tensorflow Pytorch information

See Graham, NC salary details

$30.1K

$98.6K

$157.9K

How much do tensorflow pytorch jobs pay per year?

As of Jul 13, 2026, the average yearly pay for tensorflow pytorch in Graham, NC is $98,647.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,200.00 and $109,300.00 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 cities near Graham, NC are hiring for Tensorflow Pytorch jobs? Cities near Graham, NC with the most Tensorflow Pytorch job openings:
AI/ML Architect, MediaOS Platform , IQVIA Digital

AI/ML Architect, MediaOS Platform , IQVIA Digital

IQVIA

Durham, NC • Remote

Full-time

Re-posted 2 days ago


IQVIA rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

55th of 210 rated it services


Job description

AI/ML Architect, MediaOS Platform,IQVIA Digital

We are seeking a visionary AI/ML Architect to define and lead the next generation of intelligent capabilities within our MediaOS Platform. This is a foundational leadership role, where you will shape the AI strategy, architecture, and execution roadmap from the ground up.

You will work closely with engineering, product, and data teams to embed advanced machine learning and AI-driven decisioning into a scalable, high-performance platform. This is a unique opportunity to influence both technical direction and business outcomes in a rapidly evolving domain.

Key Responsibilities
  • Architect and design end-to-end AI/ML solutions for the MediaOS platform, including:

    • Personalization and recommendation systems
    • Targeting and optimization models
    • Forecasting and advanced analytics
  • Define and implement scalable ML pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring

  • Lead the design of cloud-native, distributed AI systems leveraging modern frameworks and high-performance computing environments

  • Partner with product, data engineering, and platform teams to translate business requirements into robust AI-driven solutions

  • Establish and enforce MLOps best practices, including CI/CD, model versioning, observability, governance, and lifecycle management

  • Evaluate and integrate emerging AI technologies, including Generative AI, LLMs, and NLP applications where applicable

  • Drive data strategy alignment, ensuring high-quality, well-governed datasets to support model development and scalability

  • Mentor and guide engineers and data scientists, fostering a culture of innovation, collaboration, and technical excellence

  • Architect secure AI platforms, including authentication and authorization models (e.g., RBAC, ABAC)

Required Qualifications
  • 8+ years of experience in AI/ML, Data Science, or related fields
  • Proven track record of designing and deploying production-grade ML systems at scale
  • Strong programming expertise in Python (preferred) and/or Java/Scala
  • Hands-on experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn
  • Deep understanding of data architecture, distributed systems, and cloud platforms (AWS, Azure, or GCP)
  • Experience with real-time and batch processing systems
  • Strong knowledge of MLOps tools, frameworks, and lifecycle practices
  • Experience designing secure AI systems, including authentication and authorization frameworks (RBAC, ABAC)
Preferred Qualifications
  • Experience in media, advertising, marketing analytics, or audience platforms
  • Hands-on experience with personalization, recommendation engines, or optimization models
  • Familiarity with Generative AI, LLMs, and NLP applications
  • Experience building data-driven platforms or products
  • Strong communication and stakeholder management skills, with the ability to influence both technical and business audiences
Why Join Us
  • Build from the ground up - Play a foundational role in shaping AI capabilities within MediaOS
  • High-impact role - Directly influence platform intelligence and customer outcomes
  • Cutting-edge technology - Work with modern AI/ML, data, and cloud ecosystems
  • Flexible work environment - Fully remote with optional access to our Austin office
  • Leadership opportunity - Partner closely with senior leadership and help scale future AI capabilities
About IQVIA Digital

IQVIA Digital powers smarter healthcare engagement through advanced analytics, AI, and media solutions. Our platforms help life sciences organizations connect with healthcare professionals and patients more effectively through data-driven insights and precision targeting.

To learn more about IQVIA Digital and its capabilities, visit:
👉 Discover IQVIA Digital

About the Team

You will report directly to the Head of Software Development Engineering and collaborate with a high-performing, cross-functional team focused on building a next-generation media and data platform.

If you want, I can also optimize this for Workday posting (with job codes, compliance language, and EEO section) or create a short LinkedIn version for faster sourcing.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more athttps://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is $103,300.00 - $287,600.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

What IQVIA employees say

Pay

Benefits

Hours and flexibility

Workplace

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About IQVIA

Sourced by ZipRecruiter

At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Durham, NC, US