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Tensorflow Pytorch Jobs in Dallas, TX (NOW HIRING)

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 ...

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

Strong experience with Python-based machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). * Proficiency in using analytics platforms like Databricks for large-scale data processing.

Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face. * Strong analytical and problem-solving skills with a keen eye for detail. * Excellent ...

Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face. * Strong analytical and problem-solving skills with a keen eye for detail. * Excellent ...

Expert AI Engineer

Dallas, TX · On-site

$147K - $210K/yr

Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. * Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. What we ...

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $138K/yr

... TensorFlow, PyTorch). • Hands-on experience with PySpark for big data processing and model development. • Proficient in building models on large-scale datasets (terabytes to petabytes). • Solid ...

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

... TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs. • Experience developing and deploying AI solutions on cloud platforms (e.g., AWS, Azure, or GCP). • Experience in building Asynchronous ...

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 ...

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $138K/yr

... TensorFlow, PyTorch). • Hands-on experience with PySpark for big data processing and model development. • Proficient in building models on large-scale datasets (terabytes to petabytes). • Solid ...

Predictive Analytics Engineer

Dallas, TX · On-site

$100K - $120K/yr

TensorFlow * PyTorch * Experience with statistical modeling, predictive analytics, and feature engineering. * Strong understanding of: * Regression Analysis * Hypothesis Testing * Probability ...

Gen AI Lead

Dallas, TX · On-site

$138K - $170K/yr

Git, TensorFlow, PyTorch, PySpark, AWS, MLflow, Docker, Kubernetes, Databricks, SparkSQL, OpenCV, Azure, YOLO, Scikit-Learn, FastAPI, Flask, Django, Keras, Pandas, NumPy, Polars, SciPy, Matplotlib ...

Google Cloud ML Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

Advanced Python skills; experience with ML/NLP libraries (Hugging Face, TensorFlow, PyTorch). * Proven success building conversational agents with Vertex AI and Dialogflow CX/ES. * Proficiency in GCP ...

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

Strong programming skills in Python with experience in ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). * Hands-on experience with PySpark for big data processing and model ...

... TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain or equivalent • Experience in AWS core services, SageMaker • Bachelor's degree or foreign equivalent required from an accredited ...

Strong proficiency in Python programming and related libraries (e.g., TensorFlow, PyTorch, scikit-learn). * Experience with Large Language Models (LLMs), Prompt Engineering, and RAG implementation.

Showing results 41-60

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:
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.

$180 - $240/hr

Other

Posted 3 days ago

New


Job description

The candidate should have extensive experience in

Qualifications & Experience:
  • Bachelor’s or Master’s in Computer Science, Data Science, or related field.
  • 15+ years of IT experience, including 5+ years in AI/ML architecture or advanced analytics design.
  • Deep expertise in AI/ML frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost.
  • Hands‑on knowledge of data platforms: Snowflake, Dataiku, Azure Data Services.
  • Experience defining AI governance, model lifecycle, and compliance standards.
  • Proven ability to lead cross‑functional global teams and manage enterprise‑scale architecture programs.
  • Strong understanding of CPG domain processes and data‑driven decision systems.
Preferred Skills:
  • Exposure to Snowflake’s advanced AI capabilities (Feature Store, Model Registry, Cortex AI).
  • Experience integrating AI systems with Power BI, Azure Synapse, or custom visualization tools.
  • Understanding of MLOps concepts to effectively partner with operational teams.
  • Defining the AI system's architecture and components, including data pipelines, model selection, and deployment strategies.
  • Collaborating with stakeholders to understand business requirements and align AI solutions with organizational goals.
  • Evaluating and selecting the appropriate AI tools, frameworks, and technologies for the organization's needs. Leverage existing tools wherever possible.
  • Leading and guiding AI engineering teams, including AI Engineers and data scientists, in implementing AI solutions.
  • Ensuring compliance with data privacy regulations, ethical considerations, and best practices in AI development.
  • Overseeing the integration of AI solutions into the existing infrastructure and systems.

ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.

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