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Tensorflow Pytorch Jobs in Oregon (NOW HIRING)

Familiarity with modern data science tools and libraries (e.g., Python, R, SQL, TensorFlow, PyTorch). AWS Bedrock / Azure Foundry experience AI agent development using at least one framework (e.g ...

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

New

Senior Machine Learning Engineer

OR · On-site +1

$140K - $190K/yr

Proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch), with clean and efficient coding practices. Comfortable working with large datasets, writing complex SQL queries ...

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

New

Experience with AI/ML technologies, including machine learning frameworks (TensorFlow, PyTorch) or modern AI integration tools. * Experience integrating AI services, LLM APIs, or intelligent ...

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

New

Senior Customer Engineer, Federal

OR · Remote

$104.40K - $143.40K/yr

Familiarity with AI frameworks (e.g., TensorFlow, PyTorch, ONNX) and the broader AI/ML lifecycle is essential, along with a strong grasp of practical AI applications. * Modular Data Center Systems ...

... TensorFlow, PyTorch, scikit-learn). - 3 years of experience with programming languages commonly used in AI/ML development, such as Python, and supporting languages (e.g., SQL, Java, C++). - 3 years ...

New

$99.61K - $136.96K/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

$114.40K - $137.40K/yr

Proficiency in Python and ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn). * Experience with ML model design, training, testing, evaluation, and fine-tuning. * Solid experience in ...

... 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.

Senior AI Algorithm Engineer in oneDNN

Hillsboro, OR · On-site +1

$195.20K - $275.58K/yr

... TensorFlow, PyTorch, ONNX Runtime, and many others. This is a unique opportunity to work at the intersection of AI algorithms, lowlevel performance engineering, and cuttingedge Intel hardware ...

... TensorFlow,PyTorch). * Experience with prompt engineering for LLMs * You bring solid data science fundamentals and don't stop at exploratory analysis . You're interested in testing hypotheses ...

Experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, Keras, etc. Preferred Education, Experience and KSAs: * Certifications in AI/ML or related technologies are ...

Senior Applied Machine Learning Scientist

OR · On-site +1

$91.40K - $124.90K/yr

Familiarity with TensorFlow, PyTorch, or Scikit-learn * Familiarity with statistical libraries (SciPy, Statsmodels, etc.) * Knowledge of APIs and integration frameworks for scalable solutions

AI Integrator

Salem, OR · On-site

$96K - $130K/yr

Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch). * Experience with cloud platforms (AWS, Azure, Google Cloud). * Experience with Microsoft Suite of applications ...

Experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, Keras, etc. Preferred Education, Experience and KSAs: * Certifications in AI/ML or related technologies are ...

OR

$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 ...

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Showing results 1-20

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.

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 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.

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:
What cities in Oregon are hiring for Tensorflow Pytorch jobs? Cities in Oregon with the most Tensorflow Pytorch job openings:
Senior Data Scientist - Agentic AI

Senior Data Scientist - Agentic AI

Allstate

Full-time

Posted 27 days ago


Allstate Insurance rating

7.5

Company rating: 7.5 out of 10

Based on 542 frontline employees who took The Breakroom Quiz

193rd of 259 rated insurance


Job description

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Job Description

As a Senior Data Scientist in Allstate's AI Risk, Governance and Research area, you'll be responsible for the creation of comprehensive data-driven agentic solutions, from data collection, model/agent development to deployment and ongoing support. Your experience designing and implementing AI agents, cloud-based AI solutions and maintaining scalable AI systems will help drive success. You'll collaborate across teams to establish best practices and reusable components, ensuring consistent and high-quality execution of agents .
As a team member, you'll actively participate in the development and deployment of machine learning, AI solutions, with a focus on observability, security, and efficient LLM utilization.Key Responsibilities:

Identifies LLMs, programming languages, and tools that can bring efficiencies or needed techniques to the team. Identifies new areas of data, research and models and develops data sources that can solve business problems.
Utilizes effective project planning techniques to break down AI/predictive modeling and/or development tasks into manageable subtasks, and ensure deadlines are kept.Executes various analytical and modeling projects while collaborating with peers, as needed.
Uses best practices to develop complex statistical, machine learning techniques to build models that address business needs and to improve the accuracy of our data and data-driven decisions
Reviews, evaluates, communicates, and makes recommendation on appropriateness of AI/modeling techniques and results to team, leadership, and stakeholders to ensure these are well understood and incorporated into business processes.
Develops and executes communication strategy, keeping stakeholders informed and influencing business partners and senior leaders on the effectiveness of machine learning/predictive modeling to solve business problems.
Collaborates with outside business units and works on data and complex business problems to improve the effectiveness of business decisions and business results through designing, building, and partnering to implement machine learning/predictive models.
Effectively understand the business' problems and requirements to identify the optimal modeling approach.
Develops frameworks/prototypes that integrate data and machine learning/predictive modeling to make business decisions.

Functional Experience:

Experience in building and optimizing cloud-based machine learning systems, with proficiency in at least one major cloud provider.
Experience with Infrastructure as Code (IaC) frameworks to provision and manage cloud resources
Strong understanding of CI/CD pipelines, containerization (Docker), observability tools, and cloud security practices.
Familiarity with modern data science tools and libraries (e.g., Python, R, SQL, TensorFlow, PyTorch).

AWS Bedrock / Azure Foundry experience

AI agent development using at least one framework (e.g., Azure AF, AWS Strands, Google ADK, LangGraph, OpenAI Agents SDK)

Nice to have: Prior risk management or AI governance experience

Experience:

3 or more years of experience (Preferred)

#LI-TE1

Skills

AI Agents, AI Governance, Communication, Computer Programming, Data Analytics, Data Science, Machine Learning (ML), Product Roadmapping, Python (Programming Language), Tensorflow

Compensation

Compensation offered for this role is 100,000.00 - 170,500.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

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It is the Company's policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee's ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.


What Allstate Insurance employees say

Pay

Benefits

Hours and flexibility

Workplace

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