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Pytorch Developer Jobs in Prosper, TX (NOW HIRING)

Senior Python Developer

Dallas, TX · On-site

$120K - $161K/yr

This Senior Python Developer with PL/SQL role bridges high-performance backend automation with ... SciPy, PyTorch) * Proficiency with front-end development technologies, such as HTML, CSS, and ...

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.

... as PyTorch, TensorFlow, HuggingFace or similar libraries. • Experience with building or ... engineering teams and translate ambiguous test definitions into structured logic. • Bachelor ...

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

PyTorch * Scikit-learn * Data Preprocessing & Feature Engineering * Model Training, Validation & Evaluation * Statistics & ML Algorithms * MLOps * CI/CD Pipelines * Docker * Kubernetes * REST APIs ...

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

... TensorFlow PyTorch Scikit-learn Data Preprocessing & Feature Engineering Model Training, Validation & Evaluation Statistics & ML Algorithms MLOps CI/CD Pipelines Docker Kubernetes REST APIs ...

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 ...

AI Lead Engineer (Remote)

Dallas, TX · Remote

$104K - $138K/yr

PyTorch * Scikit-learn * Data Preprocessing & Feature Engineering * Model Training, Validation & Evaluation * Statistics & ML Algorithms * MLOps * CI/CD Pipelines * Docker * Kubernetes * REST APIs ...

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 · 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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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 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 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 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:

$90K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

Must Have Technical/Functional Skills
Strong hands-on Python knowledge
Hands-on experience in developing API Development in Python using FastAPI/ Flask framework
Working experience in Data Processing, AI enabled workflows using python
Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI.
Basic knowledge of Hybrid prompting technique
Knowledge in Generative AI tools like LangChain, Hugging Face, Llama Index etc.
Good to have:
Working experience with Gemini LLM
Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras
Hands-On knowledge on NLP
Understanding of model deployment and containerization (Docker).
Understanding of version control systems (Git).
Awareness of AI compliance, data privacy, and responsible AI principles
Roles & Responsibilities
AI workflow development
Prompt engineering
Deployment and maintenance of AI models across all environments including Production.
Code review, testing and documentation
Continuous learning in Generative AI related fields
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $90,000-130,000 a year