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Azure Ai Engineer Remote Jobs in Portland, OR (NOW HIRING)

Autodesk

Senior Manager, Data Security

Portland, OR · On-site +1

$121K - $166K/yr

This role is remote-friendly within North America. For those who prefer in-office or hybrid work ... Drive active adoption of the latest AI-assisted engineering and security tools across the team ...

Intel

Senior AI Algorithm Engineer in oneDNN

Hillsboro, OR · On-site +1

$195K - $275K/yr

  • Medical

  • Life

  • Retirement

  • PTO

The Software and AI (SAI) organization is seeking a highly skilled Software Development Engineer to ... Enjoy a safe, flexible, and supportive work environment-remote or onsite-focused on employee ...

Trimble

Premier Support Engineer

Lake Oswego, OR · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Deep proficiency in Cloud environments, specifically Microsoft Azure Cloud and integration ... Hybrid (4 days in office/1 day remote) Travel Requirement : 10% Why You'll Love Working With Us At ...

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All JobsAzure Ai Engineer JobsAzure Ai Engineer Remote JobsAzure Ai Engineer Remote Jobs in Portland, OR

Azure Ai Engineer Remote information

See Portland, OR salary details

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How much do azure ai engineer remote jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for azure ai engineer remote in Portland, OR is $56.88, according to ZipRecruiter salary data. Most workers in this role earn between $45.87 and $66.01 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Azure AI engineer remote, and why are they important?

To thrive as an Azure AI Engineer (Remote), you need expertise in AI/ML concepts, programming languages like Python, and experience with cloud platforms, especially Microsoft Azure, often supported by a degree in computer science or a related field. Familiarity with Azure AI services (such as Azure Machine Learning, Cognitive Services), DevOps tools, and certifications like Microsoft Certified: Azure AI Engineer Associate are typically required. Strong problem-solving, communication, and collaboration skills are essential for remote teamwork and project delivery. These abilities ensure effective design, deployment, and management of AI solutions that meet business objectives in distributed environments.

How do Azure AI engineers typically collaborate with cross-functional teams in a remote setting?

As an Azure AI Engineer working remotely, you'll frequently collaborate with data scientists, software developers, and project managers through virtual meetings and cloud-based project management tools. Effective communication is crucial, as you'll need to translate complex AI solutions into actionable insights for both technical and non-technical stakeholders. You may participate in daily stand-ups, code reviews, and collaborative design sessions to ensure alignment on project goals and integration of AI models into larger cloud architectures. Remote work often requires strong self-management skills and proactive sharing of progress to maintain team cohesion.

What is the difference between Azure Ai Engineer Remote vs Data Scientist Remote?

AspectAzure Ai Engineer RemoteData Scientist Remote
Required CredentialsAzure certifications, AI/ML knowledgeStatistics, programming, data analysis skills
Work EnvironmentCloud platforms, AI development toolsData analysis, modeling, research environments
Employer & Industry UsageTech companies, AI-focused firmsResearch institutions, tech companies, finance
Search & Comparison IntentUnderstanding role differences, job requirementsCareer options, skill overlaps

Azure Ai Engineer Remote focuses on developing and deploying AI solutions using Azure cloud services, requiring certifications like Azure AI Engineer Associate. Data Scientist Remote emphasizes analyzing data, building models, and deriving insights, often with statistical and programming skills. While both roles involve data and AI, Azure Ai Engineers are more cloud and deployment-oriented, whereas Data Scientists focus on analysis and research.

What is an Azure AI engineer?

Azure AI Engineers are professionals who design, build, and deploy artificial intelligence solutions using Microsoft Azure's suite of AI services. They work with data scientists, developers, and stakeholders to integrate AI capabilities such as computer vision, natural language processing, and machine learning into cloud-based applications. Their responsibilities often include managing Azure AI resources, optimizing models for performance and scalability, and ensuring solutions align with business needs, all while working remotely.

What are the most commonly searched types of Azure Ai Engineer jobs in Portland, OR?

The most popular types of Azure Ai Engineer jobs in Portland, OR are:

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For Azure Ai Engineer Remote jobs in Portland, OR, the most frequently searched job titles are:

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Azure Ai Engineer Remote jobs near you

Digital Chemistry Specialist - Remote

micro1 AI

Portland, OR • Remote

$90 - $120/hr

Part-time

Posted 19 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

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