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Aws Machine Learning Jobs in Oregon (NOW HIRING)

Robots and Pencils

OR · On-site

$64.75 - $85/hr

AWS Specialty certifications (Machine Learning - Specialty, Security - Specialty). * Experience with advanced agentic reasoning patterns (ReAct,CoT, Tree-of-Thoughts) implemented on Bedrock.

iHerb

OR · On-site

$114K - $137K/yr

Partners with data scientists to design, build, and maintain reproducible machine-learning ... AWS Certified Cloud Practitioner #LI-JC1

Deckers

Sr. Manager, Data & ML Engineering

OR · Remote

AWS certifications (Data, Machine Learning, or Solution Architecture) are a plus * 8 to 12 years of experience building enterprise-grade data platforms and pipelines * 3 to 5+ years leading data ...

BetterHelp

OR

Design, prototype and productionize scalable AI/machine learning models * Play a critical in ... Experience working with AWS Lambda, ECS, ECR, Sagemaker or other cloud based platforms * Prior ...

Nike

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

Position requires: • Distributed Systems • CI/CD Pipelines • Machine Learning Pipelines • Cloud Platforms (Azure, AWS, GCP) • API Development • Model development and Training • ...

Netflix

OR

$466K - $750K/yr

... machine learning libraries TensorFlow, PyTorch, JAX or Keras Experience with cloud computing platforms like AWS Background in math, statistics, or numerical computation Significant contributions to ...

OneStudyTeam

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

In this position, you will drive the development of statistical models and machine learning ... Build and optimize data pipelines and analytical workflows using tools like AWS Athena, Redshift ...

Deloitte

AI Solutions Architect

Portland, OR

$66.75 - $88/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

BlackLine

$149K - $187K/yr

This role sits at the intersection of advanced analytics, machine learning, and emerging AI ... AWS-native data and ML stack * Working experience with Large Language Models (LLMs) and agentic AI ...

Smarsh

OR

Development of machine learning models and other analytics following established workflows, while ... Familiarity with cloud computing platforms (AWS, GCS, Azure) * Experience with automated ...

The Motley Fool

OR · On-site

$105K - $143K/yr

You will also play a key role in introducing machine learning capabilities to enhance forecasting ... Defining all cloud infrastructure with Terraform or AWS CDK so that development, staging, and ...

Nike

Software Engineer

Beaverton, OR · On-site

... machine learning solutions that have a direct impact on the business; help design and build ... AWS Cloud Integrations or similar platform • Open-Source products like Kafka, NIFI • ...

Cotiviti

Experience building production-grade machine learning deployments on AWS, Azure, or GCP. * Experience working with Apache Spark and large-scale distributed datasets. * Experience communicating ...

Cotiviti

Understanding appropriate model metrics and techniques for managing, evaluating and monitoring GenAI models and LLMs Experience building production-grade machine learning deployments on AWS, Azure ...

Cotiviti

Experience building production-grade machine learning deployments on AWS, Azure, or GCP. * Experience working with Apache Spark and large-scale distributed datasets. * Experience communicating ...

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All JobsAws Machine Learning JobsAws Machine Learning Jobs in Oregon

Aws Machine Learning information

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$10

$74

$101

How much do aws machine learning jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for aws machine learning in Oregon is $74.07, according to ZipRecruiter salary data. Most workers in this role earn between $65.82 and $86.39 per hour, depending on experience, location, and employer.

What is an AWS Machine Learning job?

An AWS Machine Learning job involves designing, building, and deploying machine learning models using Amazon Web Services (AWS) cloud infrastructure. Professionals in this role work with services like Amazon SageMaker, AWS Lambda, and AWS Glue to develop AI-driven applications. They optimize models for scalability, integrate them into cloud-based systems, and ensure efficient data processing. Strong knowledge of machine learning algorithms, AWS architecture, and MLOps best practices is essential for success in this role.

What are the key skills and qualifications needed to thrive in the Aws Machine Learning position, and why are they important?

To thrive as an AWS Machine Learning professional, you need a strong understanding of machine learning principles, proficiency in programming languages like Python, and experience with AWS cloud services such as SageMaker. AWS Certified Machine Learning certification and familiarity with data pipelines, EC2, and Lambda are commonly required. Strong problem-solving, communication, and teamwork skills help you translate business requirements into technical solutions and collaborate effectively with diverse stakeholders. These skills are essential to efficiently deploy and manage scalable machine learning models that deliver business value in cloud-based environments.

What are some typical responsibilities for someone working in an AWS Machine Learning role?

In an AWS Machine Learning position, you'll typically design, develop, and deploy machine learning models using AWS services like SageMaker, Glue, and Lambda. Daily tasks often include data preprocessing, building and training models, and optimizing performance for production environments. You'll collaborate closely with data engineers, software developers, and business analysts to translate business needs into technical solutions. The role may also involve monitoring deployed models, managing cloud resources, and staying updated on new AWS features to ensure efficient and scalable machine learning workflows.

What are the most commonly searched types of Aws Machine Learning jobs in Oregon? The most popular types of Aws Machine Learning jobs in Oregon are:
What are popular job titles related to Aws Machine Learning jobs in Oregon? For Aws Machine Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Aws Machine Learning jobs in Oregon look for? The top searched job categories for Aws Machine Learning jobs in Oregon are:
What cities in Oregon are hiring for Aws Machine Learning jobs? Cities in Oregon with the most Aws Machine Learning job openings:
Aws Machine Learning jobs near you
Infographic showing various Aws Machine Learning job openings in Oregon as of June 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $154,073 per year, or $74.1 per hour.
AWS/Snowflake Administrator

AWS/Snowflake Administrator

BizTek People

Portland, OR • On-site

Other

Posted 13 days ago

Job description

Job Title

Job Title

Job Description

Can you give a high-level overview of your team size, roles, its initiatives/deliverables, and any tool/technologies specific to your team/department/project they will be supporting: Team Size – Administrative team onsite and offshore (around 5) interacting with 25+ team members across different roles including. BA, Data Engineers, API engineers, UI engineers, Product owners Tools/ Technology: Cloud platform (AWS, Snowflake), DevOps What would "a day in the life" of this role look like?: Setup guideline/structure around AWS/Snowflake well architected pillars around cost optimization, reliability, performance, security, operational excellence. Take care of patching, upgrade, vulnerability mitigations. Support DevOps and MLOps automation and deployments in the cloud. Respond to ad-hoc requests for AWS and snowflake cloud administration. What interaction level with this role have the team members and hiring manager? Work closely with the teams on Snowflake and AWS cloud administration and support. What would you say is the top priority for the worker over the first few weeks/months?: Vulnerability mitigations, DevOps/MLOps automation. What do you foresee being the biggest challenge in this role? Getting up to speed quickly to deliver outcomes.

KEY RESPONSIBILITIES

  • Manage and optimize AWS cloud infrastructure and Snowflake data warehouse environments
  • Implement and maintain AWS IAM security policies and best practices
  • Conduct regular vulnerability assessments and manage patching processes
  • Design and implement MLOps pipelines for efficient model development, deployment, and monitoring
  • Develop automation scripts and workflows to streamline cloud operations and data processes
  • Troubleshoot and resolve complex issues in AWS, Snowflake, and ML environments
  • Collaborate with data scientists and engineers to improve ML model deployment and performance
  • Develop and implement disaster recovery and business continuity plans

Required Skills and Qualifications

  • Proven experience as an AWS Cloud Administrator and Snowflake Administrator
  • In-depth knowledge of AWS services, especially IAM, EC2, S3, RDS, and SageMaker
  • Strong understanding of Snowflake architecture and administration
  • Expertise in AWS security best practices and compliance standards
  • Experience in vulnerability management and patching in cloud environments
  • Proficiency in MLOps practices and tools (e.g., MLflow, Kubeflow, Amazon SageMaker)
  • Strong automation skills using scripting languages (e.g., Python, Bash) and IaC tools (e.g., Terraform, CloudFormation)
  • Experience with CI/CD pipelines and version control systems (e.g., Git, Jenkins, GitLab CI)
  • Excellent problem-solving and critical thinking skills
  • Strong communication and collaboration abilities
  • Relevant certifications (e.g., AWS Certified Solutions Architect, Snowflake SnowPro Core)

Requirements

Seeking a skilled AWS Cloud and Snowflake Administrator with additional expertise in MLOps and automation. The ideal candidate will have a strong background in cloud infrastructure, data warehousing, machine learning operations, and automation practices. How many years of experience are you looking for? 5-7 years' experience Is utilities experience required? (Y/N) Nice to have, not mandatory

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