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Tensorflow Pytorch Jobs in Oregon (NOW HIRING)

Vertech

Familiarity with frameworks such as TensorFlow or PyTorch, and an understanding of Natural Language Processing (NLP) preferred. * Proficiency with Microsoft Office (Word, Excel, PowerPoint). Skills ...

Nvidia

OR

$122K - $161K/yr

PyTorch, JAX, TensorFlow, ONNX, etc) and ideally inference engines and runtimes such as vLLM, SGLang, and MLC. * Strong Python and C/C++ programming skills * Strong experience in GPU kernel ...

Cisco

Applied AI Scientist

Portland, OR

Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience translating research ideas into production systems. Preferred Qualifications: * Deep experience with ...

New

Cisco

Applied AI Scientist

Hillsboro, OR

Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience translating research ideas into production systems. Preferred Qualifications: * Deep experience with ...

New

Cellanome

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

Experience with machine learning frameworks such as PyTorch, TensorFlow, or similar platforms. * Experience optimizing algorithms for performance, scalability, memory efficiency, or real-time ...

Instacart

OR

Hands-on experience with generative or traditional modeling frameworks (PyTorch, Tensorflow, vLLM) * Prior industry or research internship in machine learning or AI * Interest and experience in ...

Varsity Tutors

Artificial Intelligence (AI) Tutor

OR · Remote

$18 - $40/hr

Adapts instruction using Python with TensorFlow or PyTorch, interactive notebooks, and real-world data projects to support students from AI concepts introduction through intermediate machine learning ...

Upstart

OR

Proficiency in Python and core ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, XGBoost). * Ability to work autonomously and lead technical direction in ambiguous, high-impact domains.

WEKA

OR

Familiarity with LLM deployment stacks, GPU compute, and ML frameworks ( PyTorch, TensorFlow, JAX ). * AI Lifecycle Expertise: Experience across the software stack, including fine-tuning, inference ...

Career Opportunities | (ISC)²

Hands-on proficiency with Python and familiarity with common AI/ML frameworks and tooling such as PyTorch, TensorFlow, scikit-learn, LangChain or Semantic Kernel, APIs, and vector databases.

Anno.ai

OR

$104K - $143K/yr

Strong proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow) * Hands-on experience with MLOps frameworks and workflow tooling (e.g., MLflow ...

(ISC)2

Hands-on proficiency with Python and familiarity with common AI/ML frameworks and tooling such as PyTorch, TensorFlow, scikit-learn, LangChain or Semantic Kernel, APIs, and vector databases.

Instacart

OR · On-site

$91K - $124K/yr

Proficiency in Python and deep learning frameworks (PyTorch, Tensorflow, JAX). Fluency in data manipulation tools (SQL, Spark, Pandas). * Track record of formulating ambiguous problems into well ...

Intel

Software Engineer

Hillsboro, OR · On-site

Experience with machine learning systems, including model training, evaluation, inference, and use of frameworks such as PyTorch, TensorFlow, or Scikit-learn. * Experience deploying AI/ML services ...

Cresta

OR · On-site

Extensive experience with modern ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and distributed/cloud-based infrastructure. * Proven ability to influence technical direction across teams as ...

Career Opportunities | (ISC)²

Familiarity with AI/ML frameworks (PyTorch, TensorFlow) and cloud-based AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI). * Working knowledge of AI governance frameworks: NIST AI RMF, OWASP ...

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Tensorflow Pytorch information

What are the key skills and qualifications needed to thrive as a Deep Learning Engineer specializing in TensorFlow and PyTorch, and why are they important?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.
What are popular job titles related to Tensorflow Pytorch jobs in Oregon? For Tensorflow Pytorch jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Tensorflow Pytorch jobs in Oregon look for? The top searched job categories for Tensorflow Pytorch jobs in Oregon are:
Tensorflow Pytorch jobs near you
AI Agent Developer

AI Agent Developer

Vertech

Full-time

Re-posted 26 days ago

Job description


The AI Agent Developer is responsible for building, deploying, and supporting AI agents and automation workflows that help teams across Vertech work more efficiently. They design and optimize prompts, tools, memory strategies, and agent workflows for business-specific use cases, and partner with stakeholders across HR, Accounting, IT, PMO, Sales, and Engineering to translate business needs into practical AI solutions. The developer curates the knowledge base that AI agents draw from, monitors agent performance, and continuously improves reliability, accuracy, and business impact.
Primary Duties and Responsibilities
  • Build AI agents, copilots, and workflow automations for business-specific use cases.
  • Design, test, and optimize prompts, tools, memory strategies, and agent workflows.
  • Partner with stakeholders across HR, Accounting, IT, PMO, Sales, and Engineering to gather requirements and translate them into technical specifications.
  • Curate and update the knowledge base (“knowledge scaffolding”) that AI agents use to ensure responses remain accurate and compliant with company policy.
  • Refine input queries and prompts to optimize model behavior for specific business use cases.
  • Troubleshoot technical issues, diagnose and resolve bugs in AI models, and resolve integration issues with existing SaaS platforms.
  • Monitor agent performance and identify patterns in failure modes (e.g., unexpected tone shifts, drops in resolution quality).
  • Develop testing and evaluation processes to measure agent reliability, response quality, and business impact.
  • Integrate AI systems with APIs, SaaS platforms, databases, and internal business systems.
  • Lead workshops and create documentation to help non-technical staff adopt new AI features effectively.
  • Collaborate with vendors on solution design and technical requirements for contracted work.
  • Other duties as assigned.

Education and Experience
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, or a related field; or 4 years of related experience.
  • Relevant internship, research, freelance, project, or professional experience developing AI solutions or automation workflows.
  • Hands-on experience with AI tools, including agent development and support.
  • Technical fluency in programming languages such as Python, SQL, or Java for diagnosing complex API or data issues.
  • Experience with AI providers and LLMs such as Claude, ChatGPT, or Gemini.
  • Familiarity with AI agent orchestration frameworks, workflow automation platforms (e.g., n8n, Make, Zapier), retrieval augmented generation (RAG), and vector database concepts.
  • Familiarity with frameworks such as TensorFlow or PyTorch, and an understanding of Natural Language Processing (NLP) preferred.
  • Proficiency with Microsoft Office (Word, Excel, PowerPoint).

Skills and Abilities
  • Demonstrated curiosity and experimentation with emerging AI technologies; personal projects, GitHub repositories, hackathons, or portfolio work encouraged.
  • Strong problem-solving and troubleshooting skills.
  • Excellent organizational and planning skills.
  • Strong verbal and written communication skills, with the ability to translate technical concepts for non-technical audiences.
  • Ability to work collaboratively across departments.

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