ZipRecruiter

Log In

1

Pytorch Developer Jobs in Fort Worth, TX (NOW HIRING)

BravoTech

Sr AI Developer

Irving, TX · On-site

Senior AI Developer w/MS Fabric Bravotech, a leader in IT staffing and staff augmentation services ... Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)

Empowered

Full Stack Developer

Dallas, TX

We are looking for a Full Stack Developer with experience in AI, large language models (LLMs), and ... Experience with AI/ML frameworks like TensorFlow, PyTorch, or OpenAI GPT. * Knowledge of computer ...

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.

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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.

Prophecy Technologies

AI/ML Engineer

Plano, TX · On-site

$109K - $131K/yr

Experience with Machine Learning frameworks including TensorFlow, PyTorch, and Scikit-learn. * Hands-on experience with Large Language Models (LLMs), Prompt Engineering, and Generative AI.

next page

Showing results 1-20

All JobsPytorch Developer JobsPytorch Developer Jobs in Fort Worth, 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 Fort Worth, TX? For Pytorch Developer jobs in Fort Worth, TX, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Fort Worth, TX look for? The top searched job categories for Pytorch Developer jobs in Fort Worth, TX are:
What cities near Fort Worth, TX are hiring for Pytorch Developer jobs? Cities near Fort Worth, TX with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
Infographic showing various Pytorch Developer job openings in Fort Worth, TX as of July 2026, with employment types broken down into 82% Full Time, 6% Part Time, 1% Temporary, and 11% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Sr AI Developer

BravoTech

Irving, TX • On-site

Full-time

Re-posted 20 days ago

Job description


Senior AI Developer w/MS Fabric
Bravotech, a leader in IT staffing and staff augmentation services, is seeking a talented Sr. AI Developer/Architect w/ Fabric
Skills: AI/ML Solutions, MS Stack, Azure, Azure Data Factory, MS Fabric, Fabric Data Factory, Fabric Data Pipelines, Fabric Semantic Models, Medallion Architecture, Python, MLOps, CI/CD, Leadership skills, Go-getter, Able to speak to business leaders in layman's terms about projects.
This role is ideal for a hands-on cloud AI engineer with deep expertise designing, deploying, securing, and optimizing enterprise AI platforms in Microsoft Azure environments.
The ideal candidate will possess strong experience with Azure AI services, cloud-native AI architecture, MLOps, scalable deployment patterns, and enterprise-grade security and governance.
Top Skills
  • Microsoft Azure AI & Cloud Services
  • Azure OpenAI Service
  • Azure Machine Learning (Azure ML)
  • Microsoft Fabric
  • Azure Data Factory (ADF)
  • Python
  • AI/ML Deployment & MLOps
  • Kubernetes / AKS
  • GPU Workloads
  • Cloud Security & Governance
  • CI/CD Automation
  • Infrastructure as Code (Terraform / Bicep)
Key Responsibilities
  • 70% - Hands-On AI Development & Engineering
  • 30% - Business Partnership & Solution Leadership
  • AI Platform Architecture & Deployment
  • Design, build, and deploy scalable AI/ML platforms in Microsoft Azure.
  • Implement enterprise AI solutions using Azure OpenAI, Azure ML, Azure AI Services, and Microsoft Fabric.
  • Architect end-to-end AI pipelines from data ingestion and preprocessing through model deployment, monitoring, and retraining.
  • Deploy GPU-intensive AI workloads using Azure Kubernetes Service (AKS), Azure VM Scale Sets, or containerized cloud environments.
  • Design highly available and fault-tolerant AI infrastructure supporting enterprise-scale workloads.
  • Architect production-ready pipelines from data ingestion through model monitoring
  • Develop and fine-tune LLM-based applications (RAG architectures, prompt engineering, agents, copilots)
  • Write high-quality, production-grade code (Python required; additional languages a plus)
  • Implement MLOps best practices (CI/CD, model versioning, monitoring, drift detection)
  • Work across cloud platforms (Azure, AWS, or GCP) to deploy secure, enterprise-grade solutions
  • Ensure governance, security, explainability, and responsible AI principles are embedded in every solution
  • Optimize performance, scalability, and cost-efficiency of AI workloads
  • 30% - Business Partnership & Solution Leadership
  • Translate ambiguous business problems into structured AI solution designs
  • Partner with business stakeholders (Finance, Operations, Sales, Marketing, IT) to identify high-value use cases
  • Clearly explain AI concepts, tradeoffs, and model outputs to non-technical audiences
  • Lead solution design workshops and whiteboarding sessions
  • Quantify expected ROI and define measurable success metrics
  • Influence prioritization of AI initiatives based on business value and feasibility
  • Mentor junior developers and help elevate AI literacy across the organization
  • AI Engineering & Cloud Integration
  • Integrate AI solutions with Azure Data Factory, Azure Synapse, Microsoft Fabric, Databricks, and enterprise data platforms.
  • Build MLOps pipelines for automated training, testing, deployment, and model lifecycle management.
  • Implement CI/CD pipelines for AI solutions using Azure DevOps or GitHub Actions.
  • Develop APIs and scalable inference endpoints for AI applications and LLM-powered solutions.
  • Security, Governance & Optimization
  • Implement enterprise-grade security controls for AI workloads including RBAC, Managed Identities, Key Vault, Private Endpoints, and network isolation.
  • Ensure compliance with governance, data privacy, and responsible AI standards.
  • Optimize AI cloud infrastructure for performance, scalability, and cost efficiency.
  • Monitor AI workloads for latency, utilization, drift detection, and operational reliability.
  • Collaboration & Leadership
  • Partner with business stakeholders, architects, data engineers, and DevOps teams to deliver AI-driven business solutions.
  • Provide technical leadership on cloud AI architecture and deployment best practices.
  • Evaluate emerging AI cloud technologies and recommend scalable enterprise solutions.
Required Qualifications
  • 5+ years of experience in Azure cloud engineering, AI deployment, or ML platform engineering.
  • Hands-on experience with Azure Machine Learning, Azure OpenAI, Azure AI Services, and Microsoft Fabric.
  • Strong experience deploying AI/ML models into production cloud environments.
  • Experience with Kubernetes, Docker, and scalable GPU-based deployments.
  • Strong understanding of cloud networking, identity management, and security architecture.
  • Must have 2+ years experience with MS Fabric
  • Strong Python scripting and automation skills.
  • Experience with Infrastructure as Code tools such as Terraform, ARM Templates, or Bicep.

70% - Hands-On AI Development & Engineering
  • Design, build, and deploy scalable AI/ML solutions (predictive models, generative AI, NLP, optimization, automation)
  • Architect production-ready pipelines from data ingestion through model monitoring
  • Develop and fine-tune LLM-based applications (RAG architectures, prompt engineering, agents, copilots)
  • Write high-quality, production-grade code (Python required; additional languages a plus)
  • Implement MLOps best practices (CI/CD, model versioning, monitoring, drift detection)
  • Work across cloud platform (Azure) to deploy secure, enterprise-grade solutions
  • Ensure governance, security, explainability, and responsible AI principles are embedded in every solution
  • Optimize performance, scalability, and cost-efficiency of AI workloads
  • 30% - Business Partnership & Solution Leadership
  • Translate ambiguous business problems into structured AI solution designs
  • Partner with business stakeholders (Finance, Operations, Sales, Marketing, IT) to identify high-value use cases
  • Clearly explain AI concepts, tradeoffs, and model outputs to non-technical audiences
  • Lead solution design workshops and whiteboarding sessions
  • Quantify expected ROI and define measurable success metrics
  • Influence prioritization of AI initiatives based on business value and feasibility
  • Mentor junior developers and help elevate AI literacy across the organization
  • What Success Looks Like
  • AI solutions deployed into production that generate measurable business impact
  • Reduced time-to-value from idea to implementation
  • Business leaders who trust and understand the AI solutions being delivered
  • Scalable architecture that enables repeatable AI delivery across functions
  • Required Qualifications
  • 7+ years of software development experience
  • 3+ years building and deploying machine learning or AI solutions in production
  • Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
  • Experience with LLM ecosystems (OpenAI APIs, Hugging Face, LangChain, vector databases)
  • Solid understanding of data engineering fundamentals
  • Ability to communicate complex technical ideas clearly and confidently
  • Demonstrated experience working directly with business stakeholders
4 days onsite
USC or GC
Salary w/benefit package
Meet Your Recruiter
Angela Hardemon
Text me about this job - 972-419-1615
Please include your name and Job Title in your Text.
Thanks!
  • 972-419-1615
  • ahardemon@bravotech.com

Apply