1

Pytorch Developer Jobs in Frisco, TX (NOW HIRING)

Sr AI Developer

Irving, TX · On-site

$112K - $151K/yr

PyTorch / TensorFlow / Scikit-learn * LangChain / OpenAI APIs / Hugging Face * MLOps & CI/CD * Azure, AWS, or GCP * RAG Architectures & AI Agents * Cloud AI Deployment * Data Engineering Fundamentals ...

Gen AI Developer / Sr.

Irving, TX

$116K - $157K/yr

Position: Gen AI Developer / Sr. Location: Irving, TX Type: Fulltime No. of Positions: Multiple ... Proficiency in Python and experience with AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face)

Java Developer

Irving, TX · On-site

$90K - $115K/yr

... programming languages. * Proficiency with tools and LLMs. * Ability to work independently and ... Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras * Hands-On ...

... PyTorch, Keras, Scikit-learn) • Experience with LLMs, RAG, OpenAI APIs • Cloud/DevOps experience (Azure/AWS, SageMaker, Kubernetes, CI/CD) • Database expertise (SQL & NoSQL) • Develop and ...

Python GenAI Developer

Dallas, TX · On-site

$49.75 - $68.50/hr

Python GenAI Developer - Expertise in Python with Knowledge of Generative AI We are seeking a ... Experience with popular Python libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)

iOS Engineer

Irving, TX · On-site

$80K - $100K/yr

Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras * Hands-On ... Prompt engineering * Deployment and maintenance of AI models across all environments including ...

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.

Job Summary We are seeking a skilled AI/ML Engineer to design, develop, and deploy machine learning ... Hands-on experience with PyTorch and/or TensorFlow. * Experience building and deploying machine ...

Senior AI Developer

Dallas, TX · On-site

$120K - $161K/yr

Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn ... Solid understanding of data engineering fundamentals * Experience with cloud-native AI deployment ...

Senior AI Developer

Dallas, TX · On-site

$120K - $161K/yr

Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn ... Solid understanding of data engineering fundamentals * Experience with cloud-native AI deployment ...

AI/ML Engineer

Dallas, TX · Remote

$140K - $220K/yr

Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn ... Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ...

next page

Showing results 1-20

Pytorch Developer information

What is a PyTorch Developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

What are the key skills and qualifications needed to thrive as a Pytorch Developer, and why are they important?

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

What is the difference between Pytorch Developer vs Machine Learning Engineer?

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are some common challenges Pytorch Developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.
What cities near Frisco, TX are hiring for Pytorch Developer jobs? Cities near Frisco, TX with the most Pytorch Developer job openings:

$90K - $115K/yr

Full-time

Posted 24 days ago


Job description

Must Have Technical/Functional Skills
Strong programming skills in Python, and familiarity with libraries like Transformers,
Pandas, scikit-learn, Seaborn, LangChain, LangGraph, LlamaIndex, PyTorch, or TensorFlow.
Experience building applications with OpenAI, Anthropic Claude, Google Gemini, or opensource LLMs.
Working knowledge of retrieval-augmented generation (RAG) pipelines and vector databases
Roles & Responsibilities
• Build and tune LLM-based applications using platforms like Vertex, GPT, Lamma, Hugging Face, etc.
• Create robust prompt engineering strategies and reusable prompt templates.
• Integrate generative AI with enterprise applications using APIs, knowledge graphs, vector databases
Salary Range: $90,000 to $115,000 per year