Applied AI Specialist
Dallas, TX · On-site
Hands-on with XGBoost, Random Forest, Gradient Boosting, Scikit-learn, PyTorch, TensorFlow, plus deep learning architectures like CNN, U-Net, Autoencoder. Generative AI / LLM Development: Experience ...
New
Applied AI Specialist
Dallas, TX · On-site
Hands-on with XGBoost, Random Forest, Gradient Boosting, Scikit-learn, PyTorch, TensorFlow, plus deep learning architectures like CNN, U-Net, Autoencoder. Generative AI / LLM Development: Experience ...
New
AI Engineer with Python
Plano, TX · On-site
$120K - $140K/yr
Minimum 10 years Roles & Responsibilities • Design, develop, and deploy AI applications using Python, Expert-level Python programming • Proficiency in AI frameworks (TensorFlow, PyTorch, Keras ...
AI Engineer with Python
Plano, TX · On-site
$120K - $140K/yr
Minimum 10 years Roles & Responsibilities • Design, develop, and deploy AI applications using Python, Expert-level Python programming • Proficiency in AI frameworks (TensorFlow, PyTorch, Keras ...
Machine Learning Software Engineer II
Dallas, TX · On-site +1
$89K - $123K/yr
Optimize PyTorch models for production deployment by converting them to ONNX formats. Apply advanced inference optimization techniques (quantization, pruning, ONNX Runtime) and memory-efficient ...
Machine Learning Software Engineer II
Dallas, TX · On-site +1
$89K - $123K/yr
Optimize PyTorch models for production deployment by converting them to ONNX formats. Apply advanced inference optimization techniques (quantization, pruning, ONNX Runtime) and memory-efficient ...
... PyTorch, or Keras, with a strong understanding of neural networks, architectures, and optimization techniques • Sound knowledge of ANN, LSTM, Encoder models, Transformers and Bert • Proficiency ...
... PyTorch, or Keras, with a strong understanding of neural networks, architectures, and optimization techniques • Sound knowledge of ANN, LSTM, Encoder models, Transformers and Bert • Proficiency ...
... PyTorch, or JAX. Qualifications : Required : • 7 years of experience with a strong foundation in ML inference, deployment, and quality validation. • Capability of end-to-end ownership from model ...
... PyTorch, or JAX. Qualifications : Required : • 7 years of experience with a strong foundation in ML inference, deployment, and quality validation. • Capability of end-to-end ownership from model ...
OpenAI GPT,LLM,PyTorch
OpenAI GPT,LLM,PyTorch
Data Scientist
Plano, TX · On-site
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 ...
Data Scientist
Plano, TX · On-site
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 ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, and LLM monitoring. Tools: Prompt Engineering, Workflow Design, and GenAI Optimization. Key ...
Pytorch information
See Dallas, TX salary details
$79.4K - $90.8K
11% of jobs
$101.2K is the 25th percentile. Wages below this are outliers.
$90.8K - $102.1K
16% of jobs
$102.1K - $113.5K
16% of jobs
$113.5K - $124.8K
5% of jobs
$124.8K - $136.2K
0% of jobs
$136.2K - $147.5K
0% of jobs
$147.5K - $158.9K
1% of jobs
The median wage is $159.7K / yr.
$158.9K - $170.2K
22% of jobs
$173.4K is the 75th percentile. Wages above this are outliers.
$170.2K - $181.6K
16% of jobs
$181.6K - $192.9K
3% of jobs
$192.9K - $204.3K
11% of jobs
$79.4K
$142.4K
$204.3K
How much do pytorch jobs pay per year?
As of Jul 29, 2026, the average yearly pay for pytorch in Dallas, TX is $142,412.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,638.00 and $174,167.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive in the Pytorch position, and why are they important?
To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.
What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?
As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.
What is a PyTorch job?
A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.
What are popular job titles related to Pytorch jobs in Dallas, TX? For Pytorch jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Pytorch jobs in Dallas, TX look for? The top searched job categories for Pytorch jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Pytorch jobs? Cities near Dallas, TX with the most Pytorch job openings:
Job description
Applied AI Specialist - Cloud Full Stack
Location : Dallas,TX
Required Skills
Programming & Data Skills: Strong in Python and SQL.
Machine Learning Fundamentals: Hands-on with XGBoost, Random Forest, Gradient Boosting, Scikit-learn, PyTorch, TensorFlow, plus deep learning architectures like CNN, U-Net, Autoencoder.
Generative AI / LLM Development: Experience with LangChain, LangGraph, Agentic AI, fine-tuning small/large language models (SLMs/LLMs), and prompt optimization.
RAG & Embeddings: Skilled in Retrieval-Augmented Generation (RAG), FAISS, vector databases, Transformers, BERT, Hugging Face.
Frameworks & APIs: Strong with LangChain framework, REST APIs, Git, CI/CD, Kubernetes.
Cloud ML Platforms: Hands-on with AWS SageMaker, Azure ML Studio, IBM Cloud.
AI Agents & Evaluation: Knowledge of multi-agent systems, RAGAS, LLM-as-Judge, hallucination detection, guardrails.
Problem-Solving: Strong debugging skills and ability to translate business needs into working AI solutions.
Good-to-Have Skills
Extra depth in PyTorch / TensorFlow.
MCP (Microsoft Certified Professional).
MLOps: Pipelines, drift monitoring, observability, Docker, MLflow, Databricks, AWS Lambda, S3.
GraphRAG (graph-based retrieval augmented generation).
Full Stack Web: React, Node.js, TypeScript.
About CloudIngest
Sourced by ZipRecruiter
Industry
Software development
Company size
1 - 10 Employees
Headquarters location
Alpharetta, GA, US