1

Artificial Intelligence Machine Learning Engineer Jobs in Portland, OR

AI Solutions Architect

Portland, OR · On-site

$66.75 - $88/hr

... intelligence, machine learning, and generative artificial intelligence use cases, including secure and high-availability deployment models • Collaborating with architects, engineers, data ...

AI Solutions Architect

Portland, OR · On-site

$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 ...

We're building intelligence that scales without sacrificing trust, cost, or the planet-because the ... Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

next page

Showing results 1-20

Artificial Intelligence Machine Learning Engineer information

See Portland, OR salary details

$33.4K

$136.6K

$205.2K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for artificial intelligence machine learning engineer in Portland, OR is $136,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,600.00 and $164,400.00 per year, depending on experience, location, and employer.

What is an Artificial Intelligence Machine Learning Engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by Artificial Intelligence Machine Learning Engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Machine Learning Engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Portland, OR? For Artificial Intelligence Machine Learning Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Portland, OR look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Portland, OR are:
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Portland, OR as of July 2026, with employment types broken down into 80% Full Time, 16% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $136,560 per year, or $65.7 per hour.
AI Solutions Architect

AI Solutions Architect

Deloitte

Portland, OR • On-site

$66.75 - $88/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

60th of 148 rated financial services


Job description

Job Summary:
Deloitte is focused on helping organizations manage and sustain their performance through their most important asset: their people. As an AI Solutions Architect on the Insights, Innovation & Operate team, you will lead sales, solution design, and delivery for artificial intelligence and machine learning engagements while collaborating with various stakeholders to align technical solutions with business needs.
Responsibilities:
• Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements
• Developing account growth strategies, managing pipelines, supporting proposal development, and driving deal closure activities with client decision-makers
• Designing scalable technology and data architectures for artificial intelligence, machine learning, and generative artificial intelligence use cases, including secure and high-availability deployment models
• Collaborating with architects, engineers, data scientists, and business stakeholders to align technical solutions with business requirements and implementation priorities
• Overseeing execution of AI-powered solutions, including risk identification, ethical AI considerations, continuous improvement, and mentoring junior team members on technical practices
Qualifications:
Required:
• Bachelor's degree in Science, Technology, Engineering, or Mathematics, such as Computer Science, Engineering, or Physics, or equivalent experience
• 8+ years of experience in product sales, software engineering, technology architecture, or data engineering
• 3+ years of experience leading artificial intelligence and machine learning solution sales, design, and deployment
• 8+ years of experience leading technical teams, including onshore and offshore teams
• 2+ years of experience architecting, building, and deploying machine learning, deep learning, or generative artificial intelligence solutions in production environments
• Experience with at least one cloud platform, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and artificial intelligence and machine learning tools and frameworks
• Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• Master's degree in a technical field
• Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom