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Tensorflow Pytorch Jobs in Newark, TX (NOW HIRING)

Tekcel8

AI Technical Lead

Southlake, TX · On-site

Hands-on experience with AI frameworks like TensorFlow, PyTorch, or Keras * Solid understanding of machine learning algorithms and techniques * Excellent problem-solving and analytical skills

Kenneth Copeland Ministries

AI Specialist

Newark, TX · On-site

Demonstrated proficiency with AI/ML frameworks and libraries such as TensorFlow, PyTorch, Hugging Face, LangChain, or similar. * Experience with cloud-based AI services including Azure AI, AWS ...

Catalyst Labs

ML Engineer

Fort Worth, TX · On-site

... PyTorch or TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • ...

Gradera Inc.

Senior Data Scientist

Fort Worth, TX · Remote

$175K/yr

Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch or TensorFlow) and/or R * Strong SQL skills with hands-on experience in DB2 and SQL Server * Experience with Databricks for large-scale ...

All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Newark, TX

Tensorflow Pytorch information

See Newark, TX salary details

$35.8K

$117.2K

$187.6K

How much do tensorflow pytorch jobs pay per year?

As of Aug 22, 2026, the average yearly pay for tensorflow pytorch in Newark, TX is $117,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $129,800.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

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 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 cities near Newark, TX are hiring for Tensorflow Pytorch jobs?

Cities near Newark, TX with the most Tensorflow Pytorch job openings:

Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Newark, TX as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, and 4% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $117,152 per year, or $56.3 per hour.

AI Technical Lead

Tekcel8

Southlake, TX • On-site

Other

Posted 9 days ago

Job description

AI Technical LeadIntroduction:

The AI Technical Lead will be a key member of our team, responsible for leading AI projects and developing cutting-edge solutions. This position does not involve people management but requires a strong focus on coding and technical expertise in AI.

Responsibilities:
  • Lead AI projects from conception to implementation, ensuring high-quality and timely delivery
  • Develop AI models and algorithms to solve complex business problems
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems
  • Stay updated on the latest AI trends and technologies to drive innovation within the organization
  • Provide technical guidance and mentorship to junior team members
  • Conduct code reviews and ensure coding best practices are followed
  • Participate in the design and architecture of AI systems
  • Troubleshoot and debug AI applications to ensure optimal performance
  • Communicate project status and updates to stakeholders
Requirements:Required Skills:
  • Proven experience as an AI Technical Lead or similar role
  • Strong proficiency in coding languages such as Python, Java, or C++
  • Hands-on experience with AI frameworks like TensorFlow, PyTorch, or Keras
  • Solid understanding of machine learning algorithms and techniques
  • Excellent problem-solving and analytical skills
  • Ability to work independently and as part of a team
  • Good communication and interpersonal skills
Preferred Skills:
  • AI certifications such as Google Cloud AI or Microsoft Azure AI
  • Experience with natural language processing (NLP) or computer vision
  • Knowledge of big data technologies like Hadoop or Spark
  • Experience working in an agile development environment
  • Advanced degree in Computer Science, Engineering, or a related field

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