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Pytorch Developer Jobs in Austin, TX (NOW HIRING)

Maddisoft

Software Developer Specialist

Austin, TX

$35.75 - $49/hr

Software Developer Specialist Location: Austin, TX (Hybrid) "Resource must be in the office a ... Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or ...

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Maddisoft

Software Developer Specialist

Austin, TX · On-site

$35.75 - $49/hr

Software Developer Specialist Location: Austin, TX (Hybrid) "Resource must be in the office a ... Production CV experience with PyTorch/TensorFlow, OpenCV, YOLO, object detection, segmentation, or ...

Vkore Solutions

GenAI Engineer-W2

Austin, TX · On-site

We are looking for a GenAI Ops Engineer to train, fine-tune, and deploy Generative AI models (LLMs ... Train and fine-tune LLMs using PyTorch, DeepSpeed, and LoRA. * Optimize inference using ONNX, vLLM ...

Gainwell Technologies LLC

AI Engineer, Principal

Austin, TX · Remote

$147K - $210K/yr

Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. * Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. What we ...

Neurophos Inc

Lead Compiler Engineer

Austin, TX · On-site

$250K - $315K/yr

We are seeking a talented ML Compiler Engineer to join our engineering team and lead the ... Integrate with existing ML frameworks (e.g., PyTorch, JAX, Triton). * Build and maintain test ...

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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 Austin, TX? For Pytorch Developer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Pytorch Developer jobs in Austin, TX look for? The top searched job categories for Pytorch Developer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Pytorch Developer jobs? Cities near Austin, TX with the most Pytorch Developer job openings:
Pytorch Developer jobs near you
Sr. GCP Infra Platform Engineer (AI/ML + Terraform)

Sr. GCP Infra Platform Engineer (AI/ML + Terraform)

Nityo Infotech

Austin, TX • On-site

$65/hr

Full-time

Posted 6 days ago

Job description

We are hiring for the below role.

Role: Sr. GCP Infra Platform Engineer (AI/ML + Terraform)
Location: Austin, TX 78758 (100% Onsite)

Preference:

  • FTE only (Non H1B) | Max Salary: $105K–$110K

  • Contract to Hire (for H1B candidates) | Max Rate: $65/hr

Job Description:

  • Bachelor’s or higher degree in Computer Science or equivalent

  • 9+ years professional software engineering experience

  • 3+ years specialized experience in AI/ML infrastructure, distributed training, and scaling large ML models

  • Strong experience with Python and frameworks such as PyTorch, TensorFlow, etc.

  • Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, Pulumi, etc.)

  • Knowledge of distributed computing, GPU computing, and GCP environments

  • Ability to work in highly ambiguous and dynamic environments