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Tensorflow Pytorch Jobs in Prosper, TX (NOW HIRING)

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 ...

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 ...

... 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.

Fluent in Python and C/C++, and at home in TensorFlow, PyTorch, or similar platforms. * Problem solver and communicator - ready to connect, share, and lead in a diverse, cross-functional team. Bonus ...

Fluent in Python and C/C++, and at home in TensorFlow, PyTorch, or similar platforms. Problem solver and communicator - ready to connect, share, and lead in a diverse, cross-functional team. Bonus ...

... TensorFlow, PyTorch). · Practical experience with LLMs, prompt engineering, RAG systems, LangChain, LangSmith, CrewAI, vector databases, and other modern GenAI tools. · Experience building rapid ...

Familiarity with popular conversational AI platforms and frameworks (e.g., TensorFlow, PyTorch, or Hugging Face Transformers) is beneficial for leveraging pre-trained models and integrating prompt ...

... TensorFlow, PyTorch). * experience with LLMs, prompt engineering, RAG systems, LangChain, LangSmith, CrewAI, vector databases, and other modern GenAI tools. * building rapid prototypes, POCs, and ...

AI/ML Tech Partner (USA)

Dallas, TX · On-site

$115K/yr

Deep expertise in machine learning, statistical modeling, optimization, and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn) * Strong programming skills in Python and SQL, with experience in ...

Knowledge of algorithms and libraries like Scikit-learn, TensorFlow, or PyTorch. Core Roles and Responsibilities Data Collection and Preparation: Gathering unstructured and structured data from ...

... TensorFlow, PyTorch). * experience with LLMs, prompt engineering, RAG systems, LangChain, LangSmith, CrewAI, vector databases, and other modern GenAI tools. * building rapid prototypes, POCs, and ...

Showing results 41-60

Tensorflow Pytorch information

See Prosper, TX salary details

$34.3K

$112.4K

$180K

How much do tensorflow pytorch jobs pay per year?

As of Aug 22, 2026, the average yearly pay for tensorflow pytorch in Prosper, TX is $112,402.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $124,500.00 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 job categories do people searching Tensorflow Pytorch jobs in Prosper, TX look for?

The top searched job categories for Tensorflow Pytorch jobs in Prosper, TX are:

What cities near Prosper, TX are hiring for Tensorflow Pytorch jobs?

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

Infographic showing various Tensorflow Pytorch job openings in Prosper, TX as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $112,402 per year, or $54 per hour.

$65 - $75/hr

Full-time

Re-posted 29 days ago


Job description

Benefits:
  • HYBRID
  • Competitive salary
  • Opportunity for advancement
  • Training & development

Job Title: Data Scientist - Integrated Operations
Location: Dallas, TX (Hybrid Remote)
In-Person Interview
Must be authorized to work in the U.S

Work Arrangement
- Hybrid work model: primarily remote within the Dallas-Fort Worth area.
- Occasional on-site presence required for meetings, training, or business needs.
- Limited business travel may be required.
Roles & Responsibilities
6+ years of experience in Machine Learning and Data Science.
• Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods, data structures, and algorithms.
• 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) and LLMs.
• Experience developing and deploying AI solutions on cloud platforms (e.g., AWS, Azure, or GCP).
• Experience in building Asynchronous Python APIs.
• Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.
• Proven experience in developing and deploying machine learning models in a production environment.
• Experience working with large datasets and performing data analysis
Required Qualifications
Education
- Bachelor's degree in Mathematics, Computer/Data Science, Information Technology, or a related field, or equivalent experience.
Experience
- Advanced experience in data science, machine learning, AI, or optimization projects.
- Proficiency in Python and SQL.
- Strong understanding of statistical methods, experimental design, and model validation.
- Experience with data pipelines and relevant programming libraries (e.g., Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, Pyspark).
- Familiarity with data visualization tools (e.g., Tableau, Plotly, Streamlit).
Preferred Experience
- Experience with AWS cloud services (e.g., SageMaker, Lambda, Glue, EMR).
- Exposure to specialized analytics areas such as simulation, graph analytics, or video analytics.
Skills & Abilities
- Ability to independently manage and deliver on complex projects.
- Strong problem-solving and critical thinking skills.
- Effective communication skills for both technical and executive audiences.
- Ability to adapt quickly to changing priorities and new technologies.
- Strong interpersonal and collaboration skills.
Compensation: $65.00 - $75.00 per hour
About Us
We work to deliver profitability in your business - with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses.
Work Approach
Our Philosophy
Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.
Work Policy
We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.
The Future
SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.