Basic familiarity with ML frameworks (TensorFlow, PyTorch). The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including ...
Basic familiarity with ML frameworks (TensorFlow, PyTorch). The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including ...
... TensorFlow, PyTorch, Keras, Pandas, NumPy, Spark ML, NLTK, H2O, AutoML, RapidMiner, Rasa, cuDNN; * 3 years of experience with Statistical Modelling & ML Algorithms such as Regression, Time Series ...
... TensorFlow, PyTorch, Keras, Pandas, NumPy, Spark ML, NLTK, H2O, AutoML, RapidMiner, Rasa, cuDNN; * 3 years of experience with Statistical Modelling & ML Algorithms such as Regression, Time Series ...
... TensorFlow/PyTorch, GPU. * General understanding of Responsible AI (RAI), including explainability (XAI), AI NIST RMF, and related AI risk management frameworks. * Experience and understanding ...
... TensorFlow/PyTorch, GPU. * General understanding of Responsible AI (RAI), including explainability (XAI), AI NIST RMF, and related AI risk management frameworks. * Experience and understanding ...
Software Development Engineer in Test
Lake Oswego, OR · On-site
$51.50 - $66.25/hr
Hands-on experience with AI/ML tools or libraries relevant to quality assurance (e.g., TensorFlow, PyTorch, or specialized AI testing platforms) * Demonstrated capability to interpret and comprehend ...
Software Development Engineer in Test
Lake Oswego, OR · On-site
$51.50 - $66.25/hr
Hands-on experience with AI/ML tools or libraries relevant to quality assurance (e.g., TensorFlow, PyTorch, or specialized AI testing platforms) * Demonstrated capability to interpret and comprehend ...
... TensorFlow/PyTorch, GPU. * Experience building production-grade machine learning deployments on AWS, Azure, or GCP. * Experience working with Apache Spark and large-scale distributed datasets.
... TensorFlow/PyTorch, GPU. * Experience building production-grade machine learning deployments on AWS, Azure, or GCP. * Experience working with Apache Spark and large-scale distributed datasets.
$466K - $750K/yr
Python, TensorFlow, PyTorch Nice to have: Java, Scala, Spark, Hive, Jax, Flink, Hadoop Excellent interpersonal, written, and verbal communication skills Preferred, but not required: Proven experience ...
Senior AI Algorithm Engineer in oneDNN
Hillsboro, OR · On-site
$195K - $275K/yr
... TensorFlow, PyTorch, ONNX Runtime, and many others. This is a unique opportunity to work at the intersection of AI algorithms, low-level performance engineering, and cutting-edge Intel hardware ...
Senior AI Algorithm Engineer in oneDNN
Hillsboro, OR · On-site
$195K - $275K/yr
... TensorFlow, PyTorch, ONNX Runtime, and many others. This is a unique opportunity to work at the intersection of AI algorithms, low-level performance engineering, and cutting-edge Intel hardware ...
Basic familiarity with ML frameworks (TensorFlow, PyTorch). The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including ...
Basic familiarity with ML frameworks (TensorFlow, PyTorch). The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including ...
Experience with machine learning algorithms and tools (e.g., TensorFlow, PyTorch, Scikit Learn etc.) and deep learning. * General understanding of uncertainty quantification, Bayesian optimization ...
Experience with machine learning algorithms and tools (e.g., TensorFlow, PyTorch, Scikit Learn etc.) and deep learning. * General understanding of uncertainty quantification, Bayesian optimization ...
Experience with machine learning algorithms and tools (e.g., TensorFlow, PyTorch, Scikit Learn etc.) and deep learning. * Coding ability to supplement commercial software for specific applications as ...
Experience with machine learning algorithms and tools (e.g., TensorFlow, PyTorch, Scikit Learn etc.) and deep learning. * Coding ability to supplement commercial software for specific applications as ...
Data Scientist I or II (MAD-BS-OR)
Hillsboro, OR · On-site
$121K - $167K/yr
Python-based ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Data processing tools (Pandas, Spark, SQL) * Deploy models and services using: * REST APIs (FastAPI, Flask) * Containerization ...
Data Scientist I or II (MAD-BS-OR)
Hillsboro, OR · On-site
$121K - $167K/yr
Python-based ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) * Data processing tools (Pandas, Spark, SQL) * Deploy models and services using: * REST APIs (FastAPI, Flask) * Containerization ...
OR · On-site
$138K - $220K/yr
Strong programming skills in Python and experience with ML/AI frameworks such as TensorFlow, PyTorch, LangChain, and LangGraph * Experience designing and operating scalable, cloud-based ML ...
... TensorFlow/PyTorch, GPU. * Experience building production-grade machine learning deployments on AWS, Azure, or GCP. * Experience working with Apache Spark and large-scale distributed datasets.
... TensorFlow/PyTorch, GPU. * Experience building production-grade machine learning deployments on AWS, Azure, or GCP. * Experience working with Apache Spark and large-scale distributed datasets.
... TensorFlow/PyTorch, GPU. * Experience building production-grade machine learning deployments on AWS, Azure, or GCP. * Experience working with Apache Spark and large-scale distributed datasets.
... TensorFlow/PyTorch, GPU. * Experience building production-grade machine learning deployments on AWS, Azure, or GCP. * Experience working with Apache Spark and large-scale distributed datasets.
... learn, PyTorch/TensorFlow) Experience with time-series data analysis and anomaly detection Hands-on experience with causal inference methods (e.g., Bayesian networks, structural causal models ...
... learn, PyTorch/TensorFlow) Experience with time-series data analysis and anomaly detection Hands-on experience with causal inference methods (e.g., Bayesian networks, structural causal models ...
... TensorFlow/PyTorch, GPU. * Good to have publication record in journals/conferences and/or history of innovation. * Experience building production-grade machine learning deployments on AWS, Azure, or ...
... TensorFlow/PyTorch, GPU. * Good to have publication record in journals/conferences and/or history of innovation. * Experience building production-grade machine learning deployments on AWS, Azure, or ...
$466K - $750K/yr
... TensorFlow, PyTorch, JAX or Keras Experience with cloud computing platforms like AWS Background in math, statistics, or numerical computation Significant contributions to open-source projects ...
AI Red Teamer
OR · On-site +1
Proficiency in programming languages such as Python, and experience with AI frameworks like TensorFlow, PyTorch, or Keras. WHY HIDDENLAYER? We're moving at (what feels like) the speed of light.
AI Red Teamer
OR · On-site +1
Proficiency in programming languages such as Python, and experience with AI frameworks like TensorFlow, PyTorch, or Keras. WHY HIDDENLAYER? We're moving at (what feels like) the speed of light.
Machine Learning Engineer
Portland, OR · On-site
... PyTorch/TensorFlow) • Experience with time-series data analysis and anomaly detection • Hands-on experience with causal inference methods (e.g., Bayesian networks, structural causal models) • ...
Machine Learning Engineer
Portland, OR · On-site
... PyTorch/TensorFlow) • Experience with time-series data analysis and anomaly detection • Hands-on experience with causal inference methods (e.g., Bayesian networks, structural causal models) • ...
OR · On-site
$104K - $143K/yr
Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or equivalent. * Solid understanding of data engineering concepts, distributed systems, and cloud-based architectures. * Experience ...
New
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?
| Aspect | Tensorflow Pytorch | Data Scientist |
|---|---|---|
| Required Skills | Deep learning frameworks, Python, machine learning | Data analysis, statistical skills, Python/R, machine learning |
| Work Environment | AI/ML development, research, software engineering | Data analysis, reporting, business insights |
| Industry Usage | AI/ML projects, research labs, tech companies | Business, 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:
Other
Re-posted 28 days ago
Deloitte rating
8.1
Based on 90 frontline employees who took The Breakroom Quiz
60th of 148 rated financial services
Job description
As a Cyber Forward Deployed Engineer (FDE), you will work at the intersection of client engagement and hands-on engineering, embedding directly with client engagement teams to design, build, and deliver high-quality cybersecurity and AI-enabled solutions. You will support end-to-end technical delivery while contributing to deal shaping, influencing product direction, and providing appropriate support when needed for clients' post-deployment.
Recruiting for this role ends on 12/31/2026.
Work you'll do
As an Engineering and Product Engineer III on the Cyber Engineering team, you will be responsible for:
- Translating business and cybersecurity needs into technical solutions, including AI/GenAI-enabled capabilities where applicable, and deploying them in alignment with client requirements and architecture
- Identifying, troubleshooting, and resolving technical issues within scope
- Partnering with stakeholders during pursuits to shape technical solutions, including demos, proofs of concept, and prototypes
- Contributing to solution design and aligning client needs with delivery feasibility
- Capturing delivery learnings to inform reusable product and platform improvements while enabling client teams through documentation, runbooks, and knowledge transfer
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.
Qualifications
Required:
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
- Limited immigration sponsorship may be available.
- Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.
- 5-8+ years of hands-on experience in full stack development across frontend and backend technologies.
- Strong proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
- Backend expertise in Node.js, Python (Django/Flask), or Java (Spring Boot).
- Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
- Experience building and integrating REST APIs, microservices, and serverless architectures.
- Experience deploying applications on AWS, Azure, or GCP.
- Familiarity with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).
- 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
- 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
- Understanding of AI system architectures and ability to align application pipelines to support them.
- Ability to independently own defined scope end-to-end with consistent, high-quality output.
- Experience working directly with business stakeholders to translate requirements into technical solutions.
- Strong communication skills with the ability to articulate technical concepts, risks, and trade-offs.
- Strong accountability and ownership mindset in achieving client outcomes.
Preferred:
- Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
- Experience with DevSecOps practices and secure software development lifecycle.
- Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
- Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
- Cloud certifications (AWS, Azure, GCP).
- Basic familiarity with ML frameworks (TensorFlow, PyTorch).
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100 to $208,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
As a Cyber Forward Deployed Engineer (FDE), you will work at the intersection of client engagement and hands-on engineering, embedding directly with client engagement teams to design, build, and deliver high-quality cybersecurity and AI-enabled solutions. You will support end-to-end technical delivery while contributing to deal shaping, influencing product direction, and providing appropriate support when needed for clients' post-deployment.
Recruiting for this role ends on 12/31/2026.
Work you'll do
As an Engineering and Product Engineer III on the Cyber Engineering team, you will be responsible for:
- Translating business and cybersecurity needs into technical solutions, including AI/GenAI-enabled capabilities where applicable, and deploying them in alignment with client requirements and architecture
- Identifying, troubleshooting, and resolving technical issues within scope
- Partnering with stakeholders during pursuits to shape technical solutions, including demos, proofs of concept, and prototypes
- Contributing to solution design and aligning client needs with delivery feasibility
- Capturing delivery learnings to inform reusable product and platform improvements while enabling client teams through documentation, runbooks, and knowledge transfer
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The team
Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.
Qualifications
Required:
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
- Limited immigration sponsorship may be available.
- Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.
- 5-8+ years of hands-on experience in full stack development across frontend and backend technologies.
- Strong proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).
- Backend expertise in Node.js, Python (Django/Flask), or Java (Spring Boot).
- Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
- Experience building and integrating REST APIs, microservices, and serverless architectures.
- Experience deploying applications on AWS, Azure, or GCP.
- Familiarity with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).
- 1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments
- 1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK
- Understanding of AI system architectures and ability to align application pipelines to support them.
- Ability to independently own defined scope end-to-end with consistent, high-quality output.
- Experience working directly with business stakeholders to translate requirements into technical solutions.
- Strong communication skills with the ability to articulate technical concepts, risks, and trade-offs.
- Strong accountability and ownership mindset in achieving client outcomes.
Preferred:
- Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
- Experience with DevSecOps practices and secure software development lifecycle.
- Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
- Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
- Cloud certifications (AWS, Azure, GCP).
- Basic familiarity with ML frameworks (TensorFlow, PyTorch).
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100 to $208,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.