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Remote Mlops Jobs in Oregon (NOW HIRING)

Gnostech LLC

Software Engineer (US-Remote)

OR · Remote

US-Remote or Marlton, NJ area Description A Software Engineer is needed to design, develop, and ... Experience implementing MLOps pipelines for model deployment and monitoring. * Experience with ...

Juvare

Senior DevOps Engineer

OR · On-site +1

$129K - $166K/yr

Experience supporting AI/MLOps workflows is a plus. Location * Atlanta / Remote Must Have * Cloud Platforms: Strong hands-on experience with AWS and Azure * Regulated Environments: Experience ...

LMI

Artificial Intelligence Lead

This position is anticipated to be majority remote, but with the ability to travel and visit the ... Implement and manage MLOps practices, including model versioning, monitoring, validation, and ...

Lumen Technologies

Senior Lead Applied AI Scientist

OR · Remote

$176K - $220K/yr

Experience with MLOps, LLMOps, cloud AI platforms, APIs, and software engineering best practices ... Bonus Structure #LI-REMOTE #LI-SB1 Requisition #: 342925 Life at Lumen Life at Lumen is human and ...

Atos

Head of AI

OR · On-site +1

MLOps/LLMOps: CI/CD for models, monitoring/observability, model registry, governance tooling Work Environment * Remote or hybrid within North America; may require proximity to major client hubs.

Atos

Head of AI

OR · On-site +1

MLOps/LLMOps: CI/CD for models, monitoring/observability, model registry, governance tooling Work Environment * Remote or hybrid within North America; may require proximity to major client hubs.

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... MLOps practices (CI/CD, monitoring, model versioning) * Knowledge of: * Signal processing or ...

LTS

Senior Forward Deployed Engineer (FDE)

OR · On-site +1

$104K - $143K/yr

Remote (U.S.) Other Considerations: U.S. Citizen or Permanent Resident Required with the ability to ... Experience implementing MLOps or LLMOps practices including model deployment, monitoring ...

Honor

Staff Data Scientist

Portland, OR · Remote

Familiarity with modern MLOps practices, cloud platforms (AWS), containerization (Docker), or CI/CD ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

Deckers

Sr. Manager, Data & ML Engineering

OR · Remote

United States (Remote) Interested applicants must reside in one of the following approved states ... MLOps patterns in partnership with Data Science and analytics teams. We celebrate diversity--of ...

Lumen Technologies

Director, Applied AI Solutions

OR · Remote

$202K - $253K/yr

... MLOps/LLMOps, and Python-based ML ecosystems. * Ability to balance technical depth, product ... Bonus Structure #LI-REMOTE #LI-SB1 Requisition #: 342923 Life at Lumen Life at Lumen is human and ...

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Remote Mlops information

What is the difference between Remote Mlops vs Data Engineer?

AspectRemote MlopsData Engineer
Required CredentialsCertifications in cloud platforms, ML frameworks, scripting skillsDatabase, ETL, SQL, cloud certifications
Work EnvironmentRemote, cloud-based, collaboration with ML teamsRemote or on-site, data infrastructure focus
Industry UsageAI/ML companies, tech firms, startupsData-driven companies, finance, healthcare, tech
Common Search/ComparisonYesYes

Remote Mlops and Data Engineers share overlapping skills like cloud computing and scripting, but Remote Mlops focuses on deploying and maintaining ML models in production, while Data Engineers build and manage data pipelines. Both roles are essential in data-driven organizations, often collaborating but with distinct technical focuses.

What are the key skills and qualifications needed to thrive as a Remote MLOps Engineer, and why are they important?

To thrive as a Remote MLOps Engineer, you need a strong background in machine learning, software engineering, and cloud computing, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and experience with ML frameworks such as TensorFlow or PyTorch are crucial, along with relevant certifications. Excellent communication, problem-solving abilities, and self-motivation are essential soft skills for collaborating across distributed teams and handling complex deployments. These skills ensure the seamless integration, deployment, and monitoring of machine learning models in production environments, driving efficiency and reliability in remote settings.

What is a Remote MLOps job?

A Remote MLOps job involves managing and automating the deployment, monitoring, and maintenance of machine learning models in production environments, all while working from a remote location. MLOps stands for Machine Learning Operations, and professionals in this role bridge the gap between data science and IT operations to ensure smooth, reliable model performance. Remote MLOps engineers use tools and practices to streamline machine learning workflows, collaborate with distributed teams, and maintain infrastructure without being tied to a physical office.

What are some common challenges faced by remote MLOps engineers, and how can they be overcome?

Remote MLOps engineers often face challenges related to collaborating across distributed teams, ensuring robust CI/CD pipelines for machine learning models, and maintaining secure, scalable cloud infrastructure. Effective communication using collaboration tools and thorough documentation is key to overcoming team coordination issues. Additionally, leveraging cloud-based MLOps platforms and automating routine processes can help streamline workflows and reduce operational friction, allowing engineers to focus on innovation and model optimization.
What are the most commonly searched types of Mlops jobs in Oregon? The most popular types of Mlops jobs in Oregon are:
What are popular job titles related to Remote Mlops jobs in Oregon? For Remote Mlops jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Mlops jobs in Oregon look for? The top searched job categories for Remote Mlops jobs in Oregon are:
What cities in Oregon are hiring for Remote Mlops jobs? Cities in Oregon with the most Remote Mlops job openings:
Remote Mlops jobs near you
Lead Instructor: MLOps / AI Platform Engineering

Lead Instructor: MLOps / AI Platform Engineering

General Assembly

OR • Remote

$11K - $15K/wk

Other

Posted 27 days ago

Job description

Job Title: Lead Instructor: MLOps / AI Platform Engineering

Company: General Assembly

Client: Confidential - Customer Success Reskilling

Location: Remote (Must work West Coast / Pacific Time hours)

Duration: 2 Weeks (Starting Mid-June)

Commitment: Roughly 30 hours per week

Compensation: $11,500 - $15,500 (Estimated lump sum payment for one 60-hour program)

About the Engagement

General Assembly is delivering a specialized reskilling program designed to transition Customer Success and Account Management professionals into MLOps and AI Platform Engineering roles.

As the Lead Instructor, you will be the face of lessons. You aren't just checking the math; you are bridge-building. You will lead experienced customer-facing professionals through the complexities of taking AI systems from pilot to production, ensuring they leave the 2-week intensive with a functional understanding of MLOps governance and deployment.

What You'll Do
  • Lead Live Instruction: Deliver high-energy, synchronous remote lectures and "prompt-along" sessions covering ML pipelines, model deployment, and monitoring.
  • Simplify the Complex: Translate high-level MLOps concepts (CI/CD for ML, governance frameworks) into digestible insights for learners who are experienced professionals but not career engineers.
  • Facilitate Hands-on Labs: Guide students through self-paced exercises and live troubleshooting within the Azure AI Foundry and ML environments.
  • Mentor & Office Hours: Provide real-time feedback during dedicated lab hours, helping students navigate technical roadblocks in Python and Azure infrastructure.
  • Drive Learning Outcomes: Ensure students can successfully articulate and execute model lifecycle management strategies by the end of the cohort.
What You Bring
  • The Experience: 7+ years in software or data engineering, with at least 3+ years specifically in MLOps or ML platform roles in a production environment.
  • The "Teacher" Gene: Proven experience in technical instruction, bootcamp delivery, or corporate training. You should be comfortable "reading the room" in a virtual setting.
  • Azure Fluency: Deep, hands-on expertise with Azure ML and AI Foundry. You should be able to navigate these platforms in your sleep.
  • Technical Foundation: Proficiency in Python, Data Engineering fundamentals, and applying DevOps/CI/CD principles specifically to ML workloads.
  • The Credentials: AZ-900, AI-900, and DP-100 are required; AI-102 is preferred.
  • The Pedigree: Experience as an AI Platform or Azure ML engineer at a major tech firm (Microsoft, Google, etc.) is a massive plus.
Note on Schedule: This is a high-intensity, 2-week engagement. Candidates must be fully available for 30 hours per week during the mid-June window and be prepared to operate on Pacific Time (PT) schedules to align with the learner cohort.

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