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Tensorflow Pytorch Jobs in Dallas, TX (NOW HIRING)

Select Minds LLC

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain ...

Select Minds LLC

Agentic AI Engineer

Dallas, TX · On-site

$120K - $140K/yr

Integrate machine learning models using TensorFlow, PyTorch, or Scikit-learn for inference, prediction, and feedback loops. * Implement Retrieval-Augmented Generation (RAG), vector search, and ...

Resolve Tech Solutions

Senior ML Engineer

Addison, TX

$101K - $138K/yr

Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Strong understanding of machine learning algorithms and techniques, including supervised and ...

Resolve Tech Solutions

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

... as TensorFlow, PyTorch, or scikit-learn. • Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement ...

Hop

Staff Engineer, Agentic Models

Dallas, TX · On-site

... home in TensorFlow, PyTorch, or similar platforms. • Problem solver and communicator - ready to connect, share, and lead in a diverse, cross-functional team. Preferred : • Strong grasp of ...

Highbrow LLC

Data Scientist / ML Engineer

Frisco, TX · On-site

$100 - $130/hr

... TensorFlow, PyTorch, etc. 3 plus years of experience in building use cases / solutions especially around AI/ML cognitive services, based on Cloud infrastructure and services such as Azure cloud ...

New

Empowered

Full Stack Developer

Dallas, TX

Experience with AI/ML frameworks like TensorFlow, PyTorch, or OpenAI GPT. * Knowledge of computer vision libraries (OpenCV, YOLO, etc.). * C# experience is a plus. * Background in smaller company ...

Tiger Analytics Inc.

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn. * Experience with cloud-based AI services such as AWS, Google Cloud ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Dallas, TX

Tensorflow Pytorch information

See Dallas, TX salary details

$37.1K

$121.4K

$194.4K

How much do tensorflow pytorch jobs pay per year?

As of Aug 8, 2026, the average yearly pay for tensorflow pytorch in Dallas, TX is $121,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $134,500.00 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?

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 are popular job titles related to Tensorflow Pytorch jobs in Dallas, TX? For Tensorflow Pytorch jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Tensorflow Pytorch jobs in Dallas, TX look for? The top searched job categories for Tensorflow Pytorch jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Tensorflow Pytorch jobs? Cities near Dallas, TX with the most Tensorflow Pytorch job openings:
Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Dallas, TX as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $121,417 per year, or $58.4 per hour.

Senior Machine Learning Engineer (NLP/LLM Focus)

CALL BOX

Dallas, TX • On-site

$112K - $148K/yr

Other

Medical, Dental, Life, Retirement

Re-posted 22 days ago

Job description

Description

 At Call Box, we believe in fostering growth-both personal and professional. We hire smart, ambitious individuals who are passionate about technology and empower them to push the boundaries of what's possible. We build and deploy AI-driven solutions that leverage cutting-edge Natural Language Processing (NLP) and Large Language Models (LLMs) to solve complex business problems in real-world environments. 


As a Senior Machine Learning Engineer specializing in NLP and LLM-powered models and microservices, you'll play a key role in shaping and delivering ML-powered products that transform how we process and extract insights from unstructured data. You'll focus on deploying scalable, high-impact solutions, with an emphasis on productization rather than research. If you're passionate about using advanced NLP techniques to solve real-world problems and have a knack for deploying and maintaining models at scale, this is the role for you. 


We use a wide range of tools including Python, TensorFlow, PyTorch, Hugging Face, SQL, Kubernetes, Docker, Azure, and AWS. Candidates with experience in data engineering or MLOps (e.g., MLflow, CDK/terraform) are highly preferred. 

Requirements

 What You'll Do: 

- Lead the design, development, and deployment of NLP and LLM-powered models that drive key products and business functions. 

- Turn cutting-edge models into production-ready, scalable solutions, ensuring seamless integration into our applications. 

- Build APIs and pipelines that power AI-driven insights from a variety of data sources like call transcriptions and enable our products to understand and process natural language data, including text classification, conversational AI, and document analysis. 

- Collaborate with product teams, engineers, and other stakeholders to drive the vision and execution of ML-powered solutions. 

- Ensure MLOps best practices are followed, with a focus on model monitoring, versioning, and retraining workflows. 

- Serve as a technical mentor through code reviews, pair programming, and guidance on best practices. 

What You Need: 

- A relentless passion for learning, growth, and excellence in the field of machine learning. 

- 5+ years of experience in machine learning engineering with a focus on NLP and LLM technologies (e.g., BERT, GPT, or similar transformer models). 

- Proven experience in building and deploying large-scale NLP models for real-world applications. 

- Expertise in turning research-based models into scalable, production-level solutions. 

- Strong programming skills in Python, with deep familiarity in libraries like TensorFlow, PyTorch, or Hugging Face. 

- Experience with cloud-based infrastructures (AWS, Azure, GCP) and tools like Kubernetes, Docker, and MLflow. 

- A team-oriented mindset, with a passion for collaborating and mentoring others. 

Preferred Skills: 

- Hands-on experience with data engineering tasks such as data pipelines, ETL processes, and working with big data technologies like Spark. 

- Familiarity with MLOps tools and practices, including continuous integration/deployment pipelines for machine learning applications. 

- Expertise in automation of model retraining and ensuring long-term scalability and performance of deployed models. 

- Experience with the automotive sales industry, voice recognition, or call center technologies. 

What's In It for You: 

- Competitive salary ranging from based on experience. 

- Medical and dental insurance options. 

- Company provided Long Term Disability and Life Insurance. 

- 401k with company match to help secure your financial future. 

- A monthly wellness allowance, reading stipend, and other perks to ensure a healthy work-life balance. 

- Clear opportunities for career growth with mentorship from senior leaders. 

- An exciting, collaborative work environment with regular team-building activities, and company events. 

Apply