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Aws Machine Learning Jobs in Portland, OR (NOW HIRING)

LO3 Energy

Platform Architect

Portland, OR

Experience with cloud platforms (AWS preferred). * Experience with containerized environments ... Machine learning experience. * Energy systems domain knowledge. Additional Information All your ...

LO3 Energy

Platform Architect

Portland, OR · On-site

Experience with cloud platforms (AWS preferred). * Experience with containerized environments ... Machine learning experience. * Energy systems domain knowledge. Qualifications Additional ...

Workday

Senior Software Engineer (Gen AI)

Beaverton, OR · On-site

$127K - $168K/yr

AWS, GCP), containerization technologies (e.g. Docker) and data engineering pipelines (e.g. ETL) * Experience developing and deploying machine learning solutions using large-scale datasets, including ...

Bakertilly

Technical Support Sr Manager

Portland, OR

$120K - $166K/yr

Machine learning models for categorization (developed with AWS SageMaker) * Text and key term extraction from PDFs Mixed integer linear programming for supply chain optimization modeling * Monte ...

Nike

Manager, Software Engineering

Beaverton, OR · On-site

Experience with AWS platform including Lambda, Step Functions, DynamoDB, Elasticsearch, s3 * Experience with implementing and integrating AI, Machine Learning and related data solutions preferred.

Nike

Lead Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... Delta Lake, and AWS data services (S3, RDS) * Proven experience leading and mentoring data ... Knowledge of Generative AI and Machine Learning pipelines and integrating them into production ...

Pwc

Adobe Transformation - Senior Associate

Portland, OR · On-site

$77K - $202K/yr

... AWS, Azure, GCP), or predictive modeling/ML (Python, SAS) - Utilizing advanced data analysis ... machine learning algorithms for business solutions - Excelling in client relationship management ...

Nike

Software Engineer

Beaverton, OR · On-site

... machine learning techniques, and mathematical models to predict and measure outcomes and ... Cloud - AWS/Azure • CI/CD Jenkins • Snowflake • Data Pipeline Design • SAP & S4 Hana • ...

Galois, Inc.

Principal Scientist

Portland, OR · On-site

With clients including NASA, DARPA, AWS, and the DoW, we leverage our cutting-edge research to ... Artificial Intelligence, Machine Learning, and Data Science * Software & Systems Analysis

Honor

Staff Data Scientist

Portland, OR · Remote

You possess a strong foundation in traditional predictive machine learning (e.g., classification ... Familiarity with modern MLOps practices, cloud platforms (AWS), containerization (Docker), or CI/CD ...

A-dec, Inc.

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Build and maintain machine learning models and AI services used in production environments * Design ... Experience with cloud platforms such as Azure, AWS or GCP beyond basic usage * Familiarity or ...

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All JobsAws Machine Learning JobsAws Machine Learning Jobs in Portland, OR

Aws Machine Learning information

See Portland, OR salary details

$10

$74

$101

How much do aws machine learning jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for aws machine learning in Portland, OR is $74.30, according to ZipRecruiter salary data. Most workers in this role earn between $66.01 and $86.68 per hour, depending on experience, location, and employer.

What is an AWS Machine Learning?

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 for an AWS Machine Learning?

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 does an AWS Machine Learning do?

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 Portland, OR? The most popular types of Aws Machine Learning jobs in Portland, OR are:
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Aws Machine Learning jobs near you
Infographic showing various Aws Machine Learning job openings in Portland, OR as of August 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $154,542 per year, or $74.3 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Vancouver, WA • Remote

Full-time

Re-posted 17 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply