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Pytorch Developer Jobs in Webster, TX (NOW HIRING)

Pivotal Solutions

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Expertise in AI/ML algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and the end-to ... Strong programming skills in Python and proficiency with relevant libraries (e.g., NumPy, Pandas ...

Urnet Inc

Engineer

Houston, TX · On-site

$100K - $150K/yr

As an Engineer in the Information industry, you will play a pivotal role in designing and ... Experience with machine learning frameworks such as TensorFlow or PyTorch. * Familiarity with ...

Raas Infotek LLC

Senior AI/ML Engineer

Texas City, TX · On-site

$89K - $122K/yr

Experience with PyTorch, TensorFlow, and/or Scikit-learn . * Hands-on experience with NLP, Generative AI, and LLMs . * Experience with Prompt Engineering, RAG, embeddings, and vector databases

Catalyst Labs

ML Engineer

Houston, TX · On-site

... PyTorch or TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • ...

Beth Page tech

Senior Machine Learning Engineer

Houston, TX · On-site

$99K - $137K/yr

Senior Machine Learning Engineer Location: Houston, TX Environment: Standard, 5-days onsite : Must ... Python mastery (TensorFlow/PyTorch, Transformers, Scikit-learn). * Cloud (AWS) and containerization ...

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

Proficient in Python and PyTorch with clean coding practices. * Theoretical Core: Solid ... Engineering Plus: Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX.

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

Proficient in Python and PyTorch with clean coding practices. * Theoretical Core: Solid ... Engineering Plus: Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX.

Bot Auto

GPU Engineer

Houston, TX · On-site

You would collaborate with software engineers, AI researchers, and hardware specialists to develop ... as PyTorch, ONNX, and TensorRT . * Experience with real-time embedded systems and handling large ...

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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 Webster, TX?

For Pytorch Developer jobs in Webster, TX, the most frequently searched job titles are:

What job categories do people searching Pytorch Developer jobs in Webster, TX look for?

The top searched job categories for Pytorch Developer jobs in Webster, TX are:

What cities near Webster, TX are hiring for Pytorch Developer jobs?

Cities near Webster, TX with the most Pytorch Developer job openings:

Pytorch Developer jobs near you

AIML DevOps Engineer

Robotics Prcocess Automation, LLC

Houston, TX • On-site

$120 - $160/hr

Other

Posted 15 days ago

Job description

We are seeking ahands‑on AIML DevOps Engineerto join our client’s growing AI/ML engineering team in Scottsdale, AZ. The ideal candidate will have strong experience incloud-based MLOps,automation, andDevOpspractices, with the ability to deploy, monitor, and scale AI/ML models efficiently in production environments.

Key Responsibilities
  • Design, build, and maintainML pipelinesfor training, testing, and deploying AI/ML models.
  • Manage and optimizecloud-based ML infrastructureusingGCP Vertex AI,AWS SageMaker, or similar services.
  • Develop and manageCI/CD pipelinesfor AI/ML applications ensuring automated deployment and version control.
  • Implementobservability and monitoringfor model performance, system health, and resource utilization.
  • Automate end-to-end workflows fordata ingestion, model training, deployment, and monitoring.
  • Work cross-functionally withdata scientists, ML engineers, and software developersto ensure scalable and secure operations.
  • ApplyMLOps best practicesfor reproducibility, model governance, and continuous improvement.
Required Skills & Experience
  • 6+ yearsof experience in DevOps / CloudOps / MLOpsroles.
  • Strong experience withGCP AI/ML services(Vertex AI, BigQuery ML, AI Platform) orAWS ML stack(SageMaker, etc.).
  • Hands-on experience withcontainerization and orchestrationtools –Docker, Kubernetes.
  • Proficiency inInfrastructure-as-Codetools –Terraform, CloudFormation, or Deployment Manager.
  • Expertise inCI/CD pipelinesusingJenkins, GitLab CI, GitHub Actions, or ArgoCD.
  • Programming experience inPython, Bash, or Go, including ML frameworks such asTensorFlow, PyTorch, Scikit-learn.
  • Strong understanding of DevOps automation, security, and scalabilityin AI/ML production systems.

ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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