ZipRecruiter

Log In

1

Mlops Engineer Jobs in Oregon (NOW HIRING)

Fisher Investments

AI Engineering Manager

Portland, OR · Hybrid

Establish engineering best practices for AI development, including MLOps, LLMOps, testing, observability, security, governance, and responsible AI * Evaluate latest AI technologies and frameworks ...

New

Fisher Investments

AI Engineering Manager

Gresham, OR · Hybrid

Establish engineering best practices for AI development, including MLOps, LLMOps, testing, observability, security, governance, and responsible AI * Evaluate latest AI technologies and frameworks ...

New

SentinelOne

OR

You will lead engineers working on AI-powered product capabilities, platform services, and ... Help define and enforce best practices for AI system development, MLOps, service reliability ...

LTS

OR · On-site

LTS is seeking an AI Platform and Harness Engineer to develop and maintain the infrastructure ... Experience implementing LLMOps or MLOps platforms and deployment pipelines. * Experience with AI ...

InvoiceCloud

OR

Integrates Secure MLOps / MLSecOps controls into AI delivery pipelines, including secure model ... Bachelor's degree in Computer Science, Cybersecurity, Engineering, Data Science, or related field ...

SentinelOne

Senior Backend Software Engineer, ObservoAI

OR · Remote

$122K - $161K/yr

As a Senior Software Engineer, you will be tasked with leading the architectural design and ... and MLOps practices for production ML systems. * Expert knowledge of observability tools and ...

Deloitte

AI Engineer Consultant

Portland, OR · Hybrid

... LLMOps/MLOps capabilities (evaluation, monitoring, governance workflows, model/prompt/version ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

Gnostech LLC

Software Engineer (US-Remote)

OR · Remote

Software Engineer (US-Remote) ID: 1191 Location: US-Remote or Marlton, NJ area Description A ... Experience implementing MLOps pipelines for model deployment and monitoring. * Experience with ...

A-dec, Inc.

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

Overview The AI Engineer, Sr plays a key role in building and scaling applied artificial ... Familiarity with MLOps practices including model monitoring, versioning, and lifecycle management

A-dec, Inc.

AI Engineer, Sr

Newberg, OR

$109K - $150K/yr

Overview The AI Engineer, Sr plays a key role in building and scaling applied artificial ... Familiarity with MLOps practices including model monitoring, versioning, and lifecycle management

SentinelOne

OR · On-site

As a Principal AI Engineering Architect, you will be tasked with leading the development and ... Oversee the establishment of best practices for MLOps, security, and performance monitoring to ...

previous pagenext page

Showing results 21-40

All JobsMlops Engineer JobsMlops Engineer Jobs in Oregon

Mlops Engineer information

Are MLOps engineers in demand?

MLOps engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are needed to develop, deploy, and maintain scalable ML systems, often requiring skills in cloud platforms, automation, and tools like Docker and Kubernetes. The role offers strong job growth prospects and competitive salaries.

What is an MLOps engineer?

An MLOps Engineer is responsible for deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and operations by automating workflows, optimizing infrastructure, and ensuring model reliability. Their role includes CI/CD for ML models, data pipeline management, and performance monitoring. They also work with cloud platforms, containerization, and orchestration tools to scale ML systems efficiently.

What are some common challenges MLOps engineers face in their daily work?

Mlops Engineers often encounter challenges in integrating new machine learning models into existing production systems while ensuring minimal downtime and maintaining data integrity. Managing the scaling and orchestration of models across various cloud or on-prem environments can be complex, requiring close coordination with data scientists and DevOps teams. Staying up to date with rapidly evolving tools and best practices is also essential in this field. Addressing these challenges provides valuable opportunities to innovate and improve both technical processes and team collaboration.

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

To thrive as an Mlops Engineer, you need strong skills in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science, engineering, or a related field. Familiarity with tools such as Docker, Kubernetes, TensorFlow, AWS/GCP/Azure, and CI/CD systems is essential, and certifications like AWS Certified Machine Learning or Kubernetes Administrator are often valued. Effective communication, problem-solving, and teamwork are crucial soft skills for collaborating across data science and IT teams. These abilities enable Mlops Engineers to efficiently deploy, manage, and scale machine learning models in dynamic production environments.

What does an MLOps engineer do?

An MLOps engineer is responsible for deploying, managing, and maintaining machine learning models in production environments. They work with tools like Docker, Kubernetes, and cloud platforms to automate workflows, ensure model reliability, and monitor performance. Their role combines software engineering, data science, and DevOps practices to streamline the deployment and lifecycle management of machine learning systems.
What are the most commonly searched types of Mlops Engineer jobs in Oregon? The most popular types of Mlops Engineer jobs in Oregon are:
What are popular job titles related to Mlops Engineer jobs in Oregon? For Mlops Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Mlops Engineer jobs in Oregon look for? The top searched job categories for Mlops Engineer jobs in Oregon are:
What cities in Oregon are hiring for Mlops Engineer jobs? Cities in Oregon with the most Mlops Engineer job openings:
Mlops Engineer jobs near you
Infographic showing various Mlops Engineer job openings in Oregon as of August 2026, with employment types broken down into 43% Full Time, 5% Temporary, and 52% Contract. Highlights an 62% In-person, and 38% Remote job distribution.

Senior Solutions Architect / Senior Solutions Engineer (Commercial)

OpenTeams

OR • On-site, Remote

$55.25 - $71.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

About the Role

OpenTeams is seeking several highly experienced and visionary Senior Solution Architects and/or Senior Solution Engineers (Sales) to join our growing team. In this pivotal role, you will be a trusted partner with our general managers working directly with our clients and leading the ideation, design and/or implementation of complex, large-scale open-source AI solutions. You will leverage your expertise in AI/ML, data science, cloud/on-prem platforms, and open-source technologies to translate business requirements into technical architectures, guide development teams, and ensure successful project delivery. This role offers the unique opportunity to shape the future of AI adoption across diverse organizations and contribute to the vibrant open-source community.

What You'll Do

Specific responsibilities will vary depending on experience and interest but will be drawn from the following areas:

  • Solution Leadership: Lead the end-to-end architectural design and technical strategy for complex open-source AI solutions, from initial concept to deployment and optimization.
  • Client Engagement: Act as a primary technical point of contact for clients, understanding their business challenges, identifying opportunities for AI innovation, and effectively communicating technical concepts to both technical and non-technical stakeholders.
  • Technical Advisory: Provide expert guidance and recommendations on open-source AI frameworks, libraries, tools, and platforms (e.g., PyTorch, JAX, Kubeflow, Ray, MCP and relevant open-source LLMs etc).
  • Architecture Definition: Develop comprehensive architectural blueprints, including data pipelines, model training and deployment strategies, MLOps practices, security considerations, and integration patterns.
  • Pre-Sales Support: Collaborate with the sales and business development teams to articulate OpenTeams' capabilities, present technical solutions, and contribute to proposals and statements of work.
  • Thought Leadership: Stay abreast of the latest advancements in open-source AI, contribute to technical blogs, whitepapers, and presentations, and represent OpenTeams at industry conferences and events.
  • Community Engagement: Actively participate in and contribute to relevant open-source projects and communities surrounding AI & ML.
  • Risk Management: Identify and mitigate technical risks throughout the project lifecycle.

What We're Looking For

  • Open Source Expertise: Deep practical experience with a wide range of open-source AI frameworks, libraries, and tools with an emphasis on AI/ML 
  • Software Engineering: Strong background in software engineering principles, design patterns, and best practices. Proficiency in Python is essential.
  • Communication: Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts clearly to diverse audiences.
  • Problem-Solving: Proven ability to analyze complex technical problems, propose innovative solutions, and drive them to successful implementation.
  • Leadership: Strong leadership, mentoring, and interpersonal skills. Ability to work effectively with cross-functional teams.
  • Technical Experience: Deep technical expertise in at least one core area and sound understanding of several other areas: Numerical Computing, Distributed & High-Performance Computing, Infrastructure/Cloud, Data Science/Machine Learning, MLOps, Data Engineering, Generative AI, Agentic AI, LLMs etc.

Bonus Points

  • Significant contributions to open-source AI or Scientific Python/PyData ecosystem (e.g., code contributions, active maintainership, leadership roles).
  • Active participation and contributions to the Open Source communities (e.g., presenting at conferences, organizing meetups, contributing to libraries like PyTorch, NumPy etc).
  • Previous experience in a consulting role is highly desirable.
  • Prior experience working with government agencies or on government contracts.
  • Existing U.S. government security clearance or the willingness and ability to obtain one.

What We Offer

  • Medical, Dental & Vision - 100% paid for employees, 75% for dependents
  • 401(k) Match - Up to 5% with full vesting after 2 years
  • Unlimited PTO - With a required minimum of 15 days off annually
  • Fully Remote Setup - Includes up to $3,000 equipment reimbursement
  • Continuous Education -  Includes up to $500 reimbursement
  • Disability & Life Insurance - 100% employer-paid
  • HSA & FSA Options - With monthly HSA contributions from OpenTeams

Why Join OpenTeams?

  • Impactful Work: Work on cutting-edge AI projects that solve real-world problems for a diverse range of clients while ensuring intelligence remains distributed and sovereign
  • Open Source Focus: Be at the forefront of open-source AI innovation and contribute to the community.
  • Collaborative Environment: Join a team of passionate and talented individuals who are dedicated to mutual success and continuous learning.
  • Growth Opportunities: Continuous learning and professional development opportunities in a rapidly evolving field.

Apply