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TensorFlow Developer - W2; H1B​/OPT

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Jobs via Dice
Full Time position
Listed on 2026-02-16
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: TensorFlow Developer - W2 (H1B/OPT) Accepted

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Xcelo Group Inc, is seeking the following. Apply via Dice today!

Job Title: Tensor Flow Developer Full-time

Location: Dallas, TX (Remote)

Duration: Long Term

Experience: 5-10 Years

We're searching for a skilled Tensor Flow Developer to design, develop, and maintain machine learning models. You'll collaborate with data scientists, engineers, and product managers to build and deploy cutting-edge AI solutions.

Responsibilities
  • Design, develop, and optimize machine learning models using Tensor Flow.
  • Implement and maintain end-to-end machine learning pipelines.
  • Collaborate with data scientists to transform prototypes into scalable production models.
  • Write clean, maintainable, and well-documented code, adhering to best practices.
  • Conduct code reviews and contribute to a collaborative development environment.
  • Troubleshoot and debug complex technical issues within machine learning systems.
  • Stay up-to-date on the latest advancements in Tensor Flow and machine learning technologies.
Qualifications
  • 5+ years of experience as a Machine Learning Engineer or Data Scientist, with a focus on Tensor Flow.
  • In-depth knowledge of machine learning algorithms, neural networks, and deep learning techniques.
  • Experience with Tensor Flow and related libraries (e.g., Keras, Tensor Flow Extended).
  • Proficiency in Python and experience with other programming languages (e.g., Java, C++).
  • Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
  • Proficiency in version control systems (Git) and familiarity with CI/CD pipelines.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
  • Experience with cloud services (e.g., AWS, Azure, Google Cloud Platform) is a plus.
  • Relevant certifications in machine learning or Tensor Flow development are a plus.

We look forward to meeting you!

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