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Tensorflow Internship Jobs in Utah (NOW HIRING)

This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ... Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch * Good ...

This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ... Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch * Good ...

This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ... Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch * Good ...

This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ... Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch * Good ...

Tensorflow Internship information

What is a TensorFlow internship?

A TensorFlow internship is a temporary position, often for students or recent graduates, where individuals gain hands-on experience working with TensorFlow, an open-source machine learning framework developed by Google. Interns typically contribute to real-world projects involving machine learning, deep learning, and AI, using TensorFlow to build, train, and deploy models. These internships provide practical exposure to data science workflows, allow interns to collaborate with experienced professionals, and help them build a strong foundation for a career in artificial intelligence or machine learning.

What types of projects and responsibilities can a TensorFlow intern expect to work on during their internship?

As a Tensorflow intern, you will typically assist with developing and optimizing machine learning models using Tensorflow, collaborating closely with data scientists and engineers. Your daily tasks may include preprocessing datasets, implementing neural networks, running experiments, and evaluating model performance. Interns often contribute to ongoing research or product development, gaining exposure to both coding and theoretical aspects of deep learning. You'll also have opportunities to participate in code reviews and team meetings, fostering both technical and collaborative skills.

What are the key skills and qualifications needed to thrive as a TensorFlow intern, and why are they important?

To thrive as a TensorFlow Intern, you typically need a solid background in computer science, mathematics, and machine learning concepts, often supported by coursework or projects. Familiarity with Python, TensorFlow, and related libraries, as well as experience using version control systems like Git, is essential. Strong problem-solving skills, curiosity, and effective teamwork set standout candidates apart. These abilities are crucial for efficiently developing and testing machine learning models within collaborative and innovative environments.

What cities in Utah are hiring for Tensorflow Internship jobs?

Cities in Utah with the most Tensorflow Internship job openings:

Integration Analyst Intern

Jade Global

Ogden, UT • On-site

Full-time

Re-posted 7 days ago


Job description

Integration Analyst Intern1
Integration Analyst Intern in the Data & AI Team
Launch Your Career with Jade Global
Are you ready to start a career where your talents are recognized, your growth is supported, and your work truly matters?
At Jade Global, we're looking for recent graduates with strong potential, curiosity, and drive. While prior experience in technology is a plus, it's not required - what matters most is your motivation to learn, grow, and make an impact. We take a personalized approach to hiring, placing greater weight on who you are and what excites you, not just your GPA.
You'll be joining a team of 1,000+ experienced business and technology professionals who are invested in your success. From day one, you'll receive hands-on coaching, mentorship, and a fast-track, individualized career path designed to help you thrive over the next 3-5 years.
This is not an internship - it's a full-time opportunity with a competitive salary, full benefits, and generous performance-based compensation. You'll be working with some of the most innovative and high-growth companies in Silicon Valley and beyond.
We're seeking the next generation of leaders, problem-solvers, and innovators from top universities around the world - people who are passionate about technology, eager to take ownership, and committed to excellence.
Ready to build your future with us? Let's get started.
Responsibilities include:
  • Exciting projects involving Boomi or Workato, focusing on building robust integration solutions to support streamlined business processes.
  • Develop and optimize data pipelines, automate workflows, and enable seamless connectivity between various systems.
  • Create AI Agents to solve complex business challenges.

Candidate Profile:
  • Bachelor's degree in Computer Science, Data Science, AI/ML, or related field
  • Strong Python programming skills
  • Understanding of ML algorithms like linear regression, classification, clustering, etc.
  • Familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch
  • Good understanding of data structures and algorithm
  • Desire to learn
  • Strong analytical thinking and problem-solving and analytical skills.
  • Independent person able to manage self and activities within a schedule
  • Able to facilitate conversations and drive decisions
  • Passionate
  • Creative thinker
  • Takes initiative and ownership
  • Strong team player
  • Strong communicator
  • Interest in learning and growing both technically and as a person
  • Exposure to NLP, Computer Vision, or Generative AI is a plus
  • Experience with Jupyter Notebooks and Git is a plus
  • Knowledge of SQL and cloud platforms (AWS, Azure, GCP) is a plus

What You'll Gain:
  • Mentoring and learning from AI/ML professionals
  • Collaborative and innovation-driven environment
  • Strong understanding of customer integration needs
  • Ability to translate customer requirements into visible results through leading edge technology
  • Deep understanding of proven integration tools
  • Career growth opportunities within the Data & AI team