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Remote Mlops Jobs in Oregon (NOW HIRING)

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 ...

Applied AI Solutions Architect

OR · On-site +1

$63 - $83/hr

Lead the design of end-to-end Applied AI architectures that span predictive ML, MLOps, generative ... Remote-First Work Environment * 401k plan with company match * Dental and Vision insurance * Home ...

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 ...

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.

Data Engineer

OR · On-site +1

$114K - $137K/yr

Collaborate with ML Engineers and cross-functional partners to support MLOps best practices ... Remote

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 ...

Support innovative approaches around Dataiku (edge computing, deep learning, advanced MLOps, for ... Some knowledge in ML Ops What does the hiring process look like? #LI-Remote #LI-AN1 * Initial call ...

New

ABOUT FLOVISION FloVision is a remote-first startup focused on improving the food supply chain ... Working knowledge of MLOps practices and the principles required to deploy, monitor, and maintain ...

New

(Canada) Principal ML System Engineer

OR · On-site +1

$176K - $195K/yr

Set the direction and best practices for MLOps across the company - including CI/CD for models ... AJ1 #LI-remote $176,000 - $195,000 a year At PointClickCare, base salary is one of the many ...

Lead AI/ML Engineer

OR · On-site +1

$180K - $230K/yr

Experience deploying AI solutions using MLOps best practices. * Experience with containerization ... Remote Work (Hybrid roles will be specified in the job post) * Competitive Compensation Package

New

United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a ... Understanding of MLOps/LLMOps practices, including monitoring, evaluation, deployment, and ...

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 ...

Remote Mlops information

What is a remote mlops?

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 the key skills and qualifications needed to thrive as a remote mlops engineer?

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 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 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 most commonly searched types of Mlops jobs in Oregon?

The most popular types of Mlops jobs in Oregon 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:

Software Engineer (US-Remote)

Gnostech LLC

OR • On-site, Remote

Full-time

Re-posted 9 days ago


Job description

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Careers >> Software Engineer (US-Remote)
Software Engineer (US-Remote)
Summary
Title: Software Engineer (US-Remote) ID: 1191 Location: US-Remote or Marlton, NJ area
Description

A Software Engineer is needed to design, develop, and maintain modern software applications and services. The engineer will work within a cross-functional team to build scalable cloud-native applications, microservices, and AI-enabled systems supporting both internal and external products. The role involves collaborating with software development, cybersecurity, and test engineering teams to design, implement, document, and deploy high-quality software solutions.

Overview

Location

  • US-Remote or Marlton, NJ area

Job Title

  • Software Engineer

Salary

  • Commensurate with industry position, depending on experience

Shift

  • Typical: Monday through Friday 9am to 5pm

Travel

  • Less than 5%

Position Responsibilities

  • Design, develop, test, and deploy scalable applications, APIs, and microservices using modern software engineering practices.
  • Build and integrate AI-enabled capabilities into applications, including machine learning models, LLM integrations, and data-driven services.
  • Participate in architecture and design reviews to ensure solutions meet scalability, security, and performance requirements.
  • Develop cloud-native services and containerized applications deployed using Docker and Kubernetes.
  • Integrate AI models, data pipelines, and inference services into production systems.
  • Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product stakeholders.
  • Develop and maintain technical documentation including system architecture diagrams, API specifications, and AI model documentation.
  • Maintain code repositories using modern version control and CI/CD pipelines.
  • Apply secure coding practices and support DevSecOps workflows.
  • Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance productivity and code quality.
  • Monitor and troubleshoot applications in distributed environments using logging, observability, and telemetry tools.

Minimum Security Clearance

  • Must be eligible and pass security screening to obtain DoD Top Secret

Required Qualifications and Skills

  • Strong proficiency in software design, development, and debugging.
  • Experience with modern programming languages such as Java, Python, or similar backend technologies.
  • Experience with Spring Boot, REST APIs, and microservices architectures.
  • Experience with AI/ML technologies, including machine learning frameworks (TensorFlow, PyTorch) or modern AI integration tools.
  • Experience integrating AI services, LLM APIs, or intelligent automation capabilities into applications.
  • Experience building containerized applications using Docker and Kubernetes.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with relational databases (MySQL, MariaDB, PostgreSQL).
  • Understanding of CI/CD pipelines, automated testing, and DevSecOps practices.
  • Familiarity with the AI/ML lifecycle including data preparation, model training, evaluation, deployment, and monitoring.
  • Ability to analyze problems, design solutions, and work collaboratively in a team environment.

Additional Desired Qualifications, Skills, Certifications

  • Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.).
  • Experience with vector databases or embeddings systems (Pinecone, Weaviate, Elasticsearch, etc.).
  • Experience implementing MLOps pipelines for model deployment and monitoring.
  • Experience with distributed systems, event streaming, or message queues (Kafka, RabbitMQ).
  • Familiarity with observability platforms (Prometheus, Grafana, ELK stack).
  • Experience with NoSQL databases (MongoDB, Cassandra).
  • Active or ability to obtain DoD Top Secret clearance.

Education and Training Required

  • Bachelor's degree (in Engineering, Computer Science, Math, or related field)

Minimum Years of Experience

  • 2+

===============================================================

Gnostech is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, or disability status. For more information, please visit www.eeoc.gov 
If this position requires a government clearance, the applicants selected will be subject to a government security investigation and must meet eligibility requirements for accessing classified information.

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