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Pytorch Developer Jobs in Frisco, TX (NOW HIRING)

PyTorch, TensorFlow, Scikit-learn * LangChain, OpenAI APIs, Hugging Face * Retrieval Augmented ... Data Engineering & Data Architecture * SQL and Data Modeling * Key Responsibilities AI Development ...

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 ...

Sr. Python Developer

Richardson, TX · On-site

$110K - $148K/yr

... and PyTorch. • Familiarity with database technologies such as SQL and NoSQL. • Excellent ... driven programming in Python • Strong unit test and debugging skills • Understanding of the ...

Python LLM Developer

Irving, TX · On-site

$48.25 - $66.50/hr

Role Python LLM Developer Location: Irving, TX ( day1 onsite, hybrid ) Python LLM Python LLM ... Familiarity with frameworks like TensorFlow, PyTorch, or Keras. Custom Model Training: Ability to ...

Java Developer

Irving, TX · On-site

$90K - $115K/yr

... programming languages. - Proficiency with tools and LLMs. - Ability to work independently and ... PyTorch, TensorFlow, Keras - Hands-On knowledge on NLP - Understanding of model deployment and ...

Python Developer

Irving, TX · On-site

$90K - $110K/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 ...

AI Lead Developer

Frisco, TX · On-site

$55.25 - $72.50/hr

Lead Developer In Artificial Intelligence (AI) We are seeking a highly skilled and experienced Lead ... Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). * Solid ...

Senior Python Developer

Irving, TX · On-site

$74 - $78/hr

Strong command of Python, PyTorch, TensorFlow, and Hugging Face libraries. * GenAI Experience ... Software Engineering: Solid understanding of software engineering best practices, including Git, CI ...

Gen AI Developer (PYTHON) Pay Rate: $64.00 - $70.00 Negotiable based upon years of experience ... Technical proficiency in Python, PyTorch, TensorFlow, and Hugging Face libraries. * Hands-on ...

Sr Python Developer

Irving, TX · On-site

$74 - $78/hr

Strong command of Python, PyTorch, TensorFlow, and Hugging Face libraries. * GenAI Experience ... Software Engineering: Solid understanding of software engineering best practices, including Git, CI ...

Proficiency in AI frameworks (TensorFlow, PyTorch, Keras, Scikit-learn) * Experience with LLMs, RAG, OpenAI APIs * Cloud/DevOps experience (Azure/AWS, SageMaker, Kubernetes, CI/CD) * Database ...

Python Developer

Irving, TX · On-site

$48.25 - $66.50/hr

Python Developer This is a development position for establishing and implementing new or revised ... Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras * Hands-On ...

AI Engineer with Python

Plano, TX · On-site

$120K - $140K/yr

... 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 Developer

Irving, TX · On-site

$48.25 - $66.50/hr

Python Developer Location: Irving, TX / Tampa, FL / Edison, NJ (Onsite) Fulltime Must Have ... PyTorch, TensorFlow, Keras - Hands-On knowledge on NLP - Understanding of model deployment and ...

Python Developer with Fast API

Irving, TX · On-site

$48.25 - $66.50/hr

Python Developer With Fast API We are looking for a motivated and detail-oriented Python developer ... learn, PyTorch/TensorFlow, LangChain, LlamaIndex). Exposure in SQL/PL-SQL, RDBMS or any other ...

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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:

Senior AI Developer

Cognowiz

Plano, TX • On-site

Other

Posted 5 days ago


Job description

Plano TX 75024 

Senior AI Developer

Independent Contractors preferred

3 days onsite in Plano, Texas

6 month Contract to Perm –

Video and Onsite


Need Someone With Active LinkedIN and Really Strong Communications

This role is ideal for a hands-on AI engineer who can architect, develop, and deploy enterprise-scale AI and Machine Learning solutions while leveraging Microsoft Fabric, Data Engineering, and modern Generative AI technologies.
The ideal candidate combines deep technical expertise in AI/ML development with strong business acumen and the ability to translate complex business challenges into scalable AI-driven solutions.
Required Skills

  • Python Development
  • Microsoft Fabric (Data Pipelines, Lakehouse, Semantic Models, Data Factory)
  • AI/ML Engineering
  • Generative AI & Large Language Models (LLMs)
  • PyTorch, TensorFlow, Scikit-learn
  • LangChain, OpenAI APIs, Hugging Face
  • Retrieval Augmented Generation (RAG)
  • AI Agents & Copilot Development
  • MLOps, CI/CD, Model Monitoring
  • Azure, AWS, or Google Cloud Platform
  • Data Engineering & Data Architecture
  • SQL and Data Modeling
  •  

Key Responsibilities


AI Development & Engineering (70%)

  • Design, build, and deploy scalable AI/ML solutions including predictive analytics, generative AI, NLP, intelligent automation, and optimization platforms.
  • Develop production-grade AI pipelines using Microsoft Fabric Data Pipelines and Lakehouse architecture.
  • Build and maintain Semantic Models that support AI, analytics, and enterprise reporting initiatives.
  • Design and implement Retrieval Augmented Generation (RAG) architectures, AI agents, copilots, and LLM-powered applications.
  • Fine-tune and deploy machine learning and deep learning models using PyTorch, TensorFlow, and Scikit-learn.
  • Develop scalable data ingestion, transformation, and feature engineering pipelines.
  • Implement MLOps best practices including CI/CD, model versioning, governance, monitoring, drift detection, and automated retraining.
  • Integrate AI solutions with enterprise applications, APIs, and cloud platforms.
  • Ensure responsible AI principles including security, compliance, explainability, and governance.
  • Optimize AI workloads for scalability, reliability, and cost efficiency.

Business Partnership & Solution Leadership (30%)

  • Partner with business stakeholders across Finance, Operations, Sales, Marketing, and IT to identify and prioritize AI opportunities.
  • Translate business requirements into scalable AI and data platform solutions.
  • Lead solution workshops, technical discovery sessions, and architecture discussions.
  • Communicate technical concepts and model outcomes to executive and non-technical audiences.
  • Define ROI metrics, business outcomes, and success criteria for AI initiatives.
  • Mentor junior developers and promote AI engineering best practices.

Required Qualifications

  • 7+ years of software development or data engineering experience.
  • 3+ years building and deploying AI/ML solutions in production environments.
  • Strong Python programming expertise.
  • Hands-on experience with Microsoft Fabric, including Data Pipelines, Lakehouse, and Semantic Models.
  • Experience developing and deploying AI/ML models using PyTorch, TensorFlow, or Scikit-learn.
  • Experience with OpenAI APIs, LangChain, Hugging Face, vector databases, and RAG architectures.
  • Strong understanding of data engineering, data modeling, and enterprise analytics platforms.
  • Experience implementing MLOps and CI/CD practices.
  • Experience deploying AI solutions in Azure, AWS, or Google Cloud Platform environments.
  • Strong communication and stakeholder engagement skills.