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Internship Aws Machine Learning Jobs in Oregon (NOW HIRING)

This data science role requires a minimum of 7 years of Python and data science experience, 3 years of AWS experience, and hands-on delivery of machine learning and Generative AI use cases. Core ...

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

... the Machine Learning Models (TensorFlow, PyTorch, Scikit-learn) • AWS Serverless Architecture (Lambda, API Gateway, IAM) • Infrastructure as Code at Scale (Terraform) • Kubernetes based ...

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 ...

Lead AI/ML Engineer

OR · On-site +1

$180K - $230K/yr

... AWS. * At least 2 years of experience deploying production AI/ML applications in enterprise environments. * Strong proficiency in Python. * Experience with machine learning frameworks such as ...

Engineer Scientist I, QC

Eugene, OR · On-site

$60 - $80/hr

You will have the opportunity to work with a variety of data analysis tools and technologies, including Python, Machine Learning, and AWS. If you are passionate about quality and data analysis, we ...

New

Senior Forward Deployed Engineer- AWS

Portland, OR · On-site

$110K - $152K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Lead Forward Deployed Engineer - AWS

Portland, OR · On-site

$108K - $143K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Principal Software Engineer, Pricing Platform

OR · On-site +1

$134K - $180K/yr

... AWS (S3, RDS/Postgres, ElastiCache), Kubernetes/Helm, and Datadog for observability. How you'll ... Partner closely with machine-learning scientists and engineers to create reliable, scalable ...

... 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 ...

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 ...

... AWS, Azure, or GCP in the context of building and operating AI/ML solutions. * Experience working with data science and machine learning libraries and frameworks such as H2O, TensorFlow, Keras ...

... 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 • ...

Build scalable machine learning and deep learning models using image, video, and multimodal sensor ... Experience with cloud platforms (Azure, AWS, or GCP) and MLOps practices. Ability to handle large ...

Showing results 41-60

Internship Aws Machine Learning information

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:

Infographic showing various Internship Aws Machine Learning job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

MLOPS Engineer

Portland, OR • On-site

Other

Posted 8 days ago


Job description

MLOPS ENGINEER

JD:

This data science role requires a minimum of 7 years of Python and data science experience, 3 years of AWS experience, and hands-on delivery of machine learning and Generative AI use cases. 

Core Technical Requirements

• Data Science: Minimum 7 years of hands-on coding and model development in Python. 
• Cloud Infrastructure: Minimum 3 years of production experience working within the AWS ecosystem. 
• Machine Learning: Proven background in machine learning with at least 5 distinct, well-documented use cases covering a mix of classification, regression, or forecasting models. 
• Generative AI: Demonstrated delivery of at least 2 Generative AI use cases (Preferred candidates with: keywords such as multimodal applications, image-plus-text processing, or advanced model fine-tuning in GenAI use cases)