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Pytorch Developer Jobs in Prosper, TX (NOW HIRING)

United IT Solutions

Python Developer with Fast API

Irving, TX · On-site

$48.25 - $66.50/hr

Python Developer with Fast API Location: Mississauga, ON- Canada- Hybrid About the Role We are ... learn, PyTorch/TensorFlow, LangChain, LlamaIndex). Exposure in SQL/PL-SQL, RDBMS or any other ...

Saransh Inc

Conversational AI Developer

Irving, TX · On-site

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.

BravoTech

Analyst Engineer

Plano, TX · On-site

... Developer for a premier client. This role is ideal for a hands-on AI engineer who can architect ... PyTorch, TensorFlow, Scikit-learn * LangChain, OpenAI APIs, Hugging Face * Retrieval Augmented ...

Tata Consultancy Service Limited

Developer

Plano, TX · On-site

$110K - $130K/yr

TensorFlow and PyTorch; 4. Framework: Django ; Flask; FastAPI 5. Web Scraping and HTTP: Beautiful Soup; Scrapy Must Have: • 3-4 Years of Experience in developing Automations using Python language ...

Tata Consultancy Services

Developer

Plano, TX · On-site

$110K - $130K/yr

TensorFlow and PyTorch; 4. Framework: Django ; Flask; FastAPI 5. Web Scraping and HTTP: Beautiful Soup; Scrapy Must Have: • 3-4 Years of Experience in developing Automations using Python language ...

NTT DATA

SAP AI Lead Developer

Plano, TX · On-site

$56.75 - $74.25/hr

... TensorFlow, PyTorch, Scikit-learn), and programming languages (Python, R). • Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices. • Strong architectural design and system ...

FleetPride, Inc.

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 ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised ... Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge ...

Superior Fleet Solutions

Senior AI Developer

Dallas, TX

$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 ...

Amazech Solutions

Junior AI Engineer

Plano, TX · On-site

We are seeking a Junior AI Engineer to work out of Plano, TX Requirements * Bachelor''s degree in ... Experience with PyTorch/TensorFlow and Git. Preferred * LangChain, LlamaIndex, Vector Databases.

Photon

Python Developer with ML - Dallas, TX

Dallas, TX

$49.75 - $68.50/hr

... PyTorch, TensorFlow). Architect modular, scalable, and extensible frameworks for APIs, data ... Implement best practices in software engineering: OOP, design patterns, modular architecture.

Tata Consultancy Service Limited

Engineer

Irving, TX · On-site

$95K - $105K/yr

... Engineering, RAG Architecture, Agentic AI. - Basic knowledge of Hybrid prompting technique ... PyTorch, TensorFlow, Keras - Hands-On knowledge on NLP - Understanding of model deployment and ...

Tata Consultancy Service Limited

Engineer

Irving, TX · On-site

$90K - $100K/yr

... Engineering, RAG Architecture, Agentic AI. - Basic knowledge of Hybrid prompting technique ... PyTorch, TensorFlow, Keras - Hands-On knowledge on NLP - Understanding of model deployment and ...

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 ...

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

Python Developer with Fast API

United IT Solutions

Irving, TX • On-site

$48.25 - $66.50/hr

Other

Posted 6 days ago

Job description

Job Description
Role: Python Developer with Fast API
Location: Mississauga, ON- Canada- Hybrid
About the Role
We are looking for a motivated and detail-oriented Python developer with 6-8+ years of experience to join our development team. The ideal candidate will contribute to designing, developing and optimizing business process automation solutions and data driven solutions, leveraging cutting-edge AI technologies and modern containerization practices to build scalable and resilient applications.
Responsibilities
This function covers incumbents responsible for various data and business process automation projects and applications, which includes troubleshooting, enhancements and builds.
Design, develop, and maintain robust and scalable backend systems, incorporating AI/ML capabilities (e.g., Retrieval-Augmented Generation, Large Language Model integration, Machine Learning Control Plane) and deploying solutions using containerization technologies.
Responsible for routine operational or administrative work.
Individuals will have their work thoroughly reviewed and checked by more senior incumbents and will have limited contact outside their immediate area.
Daily deliverable of routine and defined outputs, while at the same time developing knowledge of the broader context in which the work is being performed.
Qualifications
At least 6-8 years of experience as Python or Backend Developer.
Demonstrated proficiency with key Python libraries for backend development, data processing, and AI/ML (e.g., FastAPI/Flask/Django, Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow, LangChain, LlamaIndex).
Exposure in SQL/PL-SQL, RDBMS or any other database systems implementation and query.
Experience with AI development frameworks and concepts, including Retrieval-Augmented Generation (RAG), Machine Learning Control Plane (MCP), and Large Language Models (LLMs).
Proficiency in containerization technologies such as Docker and orchestration platforms like Kubernetes.
Ability to think strategically and the ability to engage resources outside of their direct control to achieve objectives.
Capable of writing and building components to integrate into new or existing systems.
Documentation experience for complex software components.
Experience in implementing product lifecycle - design, development, quality, deployment, maintenance.
Ready to work within a collaborative environment with teams.
Creative thinking for identifying new opportunities.

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