ZipRecruiter

Log In

1

Pytorch Developer Jobs in Irving, TX (NOW HIRING)

Photon

Python Developer with ML - Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

... PyTorch, TensorFlow). • Architect modular, scalable, and extensible frameworks for APIs, data processing, or AI integrations. • Implement best practices in software engineering: OOP, design ...

Tata Consultancy Services

Python Automation Developer

Plano, TX · On-site

$48.50 - $66.75/hr

... Developer. The role involves developing automations using Python, maintaining existing codebases ... TensorFlow and PyTorch • Framework: Django; Flask; FastAPI • Web Scraping and HTTP: Beautiful ...

eTeam

Machine Learning Platform Engineer

Richardson, TX · On-site

Job Summary : eTeam is seeking a Machine Learning Platform Engineer to work onsite in Richardson ... PyTorch, or JAX. Qualifications : Required : • 7 years of experience with a strong foundation in ...

ITBMS Inc.

AI/ML Engineer with Agentic AI

Plano, TX · On-site

... PyTorch/ TensorFlow, cloud services, and MLOps practices. Software Engineering: • Python proficiency. • Very good understanding and work experience with REST APIs, JSON, YAML. • Ability to ...

next page

Showing results 1-20

All JobsPytorch Developer JobsPytorch Developer Jobs in Irving, TX

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 are popular job titles related to Pytorch Developer jobs in Irving, TX? For Pytorch Developer jobs in Irving, TX, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Irving, TX look for? The top searched job categories for Pytorch Developer jobs in Irving, TX are:
What cities near Irving, TX are hiring for Pytorch Developer jobs? Cities near Irving, TX with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
Sr. or Lead AI Developer

Sr. or Lead AI Developer

Business Centric Technology

Irving, TX • On-site

$180K - $210K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Job description

Our top client is looking for a hands-on Senior AI Developer who can turn complex business problems into scalable, production-ready AI solutions. This role blends deep technical expertise with strong business partnership, ideal for someone who enjoys building, owning, and delivering real-world impact. This is a direct-hire position working on-site four days a week in Irving, TX (Friday’s remote).

COMP: Up to $210K based on candidate’s experience, etc.

WHAT’S IN IT FOR YOU:  

  • Medical, dental, and vision with employer contributions
  • Healthcare FSA & telehealth options
  • Paid vacation, sick leave & holidays
  • Life & AD&D insurance, plus multiple 401(k) plans
  • Ongoing learning and development programs

WHAT YOU’LL DO:

Build & Deploy AI Solutions (70%)

  • Design and deliver end-to-end AI/ML solutions, including predictive models, generative AI, NLP, and automation
  • Develop LLM-powered applications (RAG, agents, copilots, prompt engineering)
  • Build production-grade pipelines from data ingestion to model monitoring
  • Write clean, scalable Python code and implement MLOps best practices (CI/CD, versioning, drift detection)
  • Deploy solutions across Azure, AWS, or GCP with a focus on performance, cost, and security
  • Ensure responsible AI, governance, and explainability are built into every solution

Partner with the Business (30%)

  • Translate ambiguous problems into clear AI solution designs
  • Collaborate with stakeholders across Finance, Operations, Sales, and IT to identify high-impact opportunities
  • Lead whiteboarding sessions and communicate complex ideas in a clear, business-friendly way
  • Define success metrics, quantify ROI, and influence AI roadmap prioritization

WHAT YOU’LL BRING:

  • 7+ years in software development; 3+ years delivering AI/ML solutions in production
  • Strong Python and experience with ML frameworks (PyTorch, TensorFlow, scikit-learn)
  • Hands-on experience with LLMs and modern AI stacks (OpenAI, Hugging Face, LangChain, vector DBs)
  • Cloud experience with Azure, AWS, or GCP AI services
  • Ability to clearly communicate technical concepts to non-technical audiences
  • Proven experience working directly with business stakeholders 
  • Experience with AI governance, copilots, or intelligent automation preferred
  • Background in analytics, optimization, or decision intelligence preferred
  • Experience in complex or regulated environments preferred
  • Strong business acumen or MBA preferred

APPLY TODAY! CP# 8547