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

SOSi

Senior Data Scientist

OR · On-site +1

Personnel must have demonstrated experience in building and validating AI/ML models using Python ... TensorFlow Developer Certification. Additional Information Work Environment * Full remote ...

Lumen Technologies

Network Inventory GIS Engineer

OR · Remote

$67K - $90K/yr

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... Benefits Bonus Structure #LI-Remote Requisition #: 342360 Life at Lumen Life at Lumen is human and ...

Sapiens

Senior Software Developer

OR · On-site +1

$51 - $67.50/hr

Senior Software Developer Location: Remote Job Summary Sapiens is on the lookout for a Senior ... LI-Remote We Are Sapiens International Corporation N.V. is a global leader of AI-centric, SaaS ...

SOSi

Data Scientist

OR · On-site +1

Azure AI Fundamentals, or Certified Data Scientist (CDS). Additional Information Work Environment * Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Lumen Technologies

Director of Data Governance

OR · Remote

Location This is a remote opportunity open to candidates located anywhere in the U.S. The Main ... Partner with Technology and Engineering teams to align governance practices with enterprise data ...

AGFA

Security Architect

OR · On-site +1

$61 - $78.75/hr

Location: * Remote: Canada (Waterloo ON), United States, Belgium (Ghent or Mortsel), Austria ... Ability to mentor and guide other engineers. * You are a certified AWS Solutions Architect

Agfa

Security Architect

OR · On-site +1

$61 - $78.75/hr

Location: * Remote: Canada (Waterloo ON), United States, Belgium (Ghent or Mortsel), Austria ... Ability to mentor and guide other engineers. * You are a certified AWS Solutions Architect

Lumen Technologies

Strategy & Research Director

OR · Remote

$152K - $202K/yr

Lumen is the trusted network for AI. We're transforming how businesses connect, secure, and scale ... Master's degree in Computer Science, Electrical Engineering, Telecommunications, Economics ...

Sapiens

Strategic Account Director

OR · On-site +1

Coordinate internal stakeholders across Sales Engineering, Product, Delivery, and Executive ... LI-Remote We Are Sapiens International Corporation N.V. is a global leader of AI-centric, SaaS ...

Project Sapiens

Strategic Account Director

OR · Remote

Remote The Strategic Account Director is a senior, quota-carrying sales role responsible for ... Coordinate internal stakeholders across Sales Engineering, Product, Delivery, and Executive ...

Lumen Technologies

Principal Product Manager - Outbound

OR · On-site +1

$152K - $202K/yr

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... Product, Engineering, Sales, and GTM teams. Location This is a remote opportunity open to ...

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Remote Ai Engineer information

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How much do remote ai engineer jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for remote ai engineer in Remote, OR is $53.58, according to ZipRecruiter salary data. Most workers in this role earn between $43.22 and $62.21 per hour, depending on experience, location, and employer.

What is a Remote AI Engineer job?

A Remote AI Engineer is a professional who designs, develops, and deploys artificial intelligence models and systems while working from a remote location. They use machine learning, deep learning, and data science techniques to build AI-powered applications, improve automation, and solve complex problems. Responsibilities often include data preprocessing, model training, fine-tuning, and integrating AI solutions into products or services. These engineers collaborate with cross-functional teams online, using cloud-based tools and platforms for development and deployment. Remote AI Engineers typically need strong programming skills in languages like Python, experience with frameworks like TensorFlow or PyTorch, and familiarity with cloud computing and MLOps.

What is it like collaborating with team members as a Remote AI Engineer?

As a Remote AI Engineer, collaboration typically occurs through virtual meetings, code reviews, shared documentation, and messaging platforms like Slack or Teams. You will work closely with data scientists, product managers, and software engineers to define requirements, design solutions, and integrate AI models into products or services. Strong communication and proactive reporting are highly valued to ensure project alignment and seamless progress. Effective collaboration in a remote setting not only enhances project outcomes but also fosters professional growth and a sense of team cohesion.

What are the key skills and qualifications needed to thrive in the Remote Ai Engineer position, and why are they important?

To thrive as a Remote AI Engineer, you need a strong background in machine learning, deep learning, programming (Python, TensorFlow, PyTorch), and a relevant degree in computer science or a similar field. Familiarity with cloud platforms (such as AWS, GCP, or Azure), version control systems like Git, and relevant certifications (e.g., AWS Certified Machine Learning) are beneficial. Excellent problem-solving skills, self-motivation, clear communication, and the ability to collaborate in a distributed team set exceptional candidates apart. These competencies are crucial for effectively building, deploying, and maintaining AI solutions in a remote, fast-paced environment.

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Remote Ai Engineer jobs near you

Senior Data Scientist

SOSi

OR • On-site, Remote

Full-time

Posted 14 days ago

Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
  • The contractor shall conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
  • The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

Qualifications
  • Active TS/SCI Clearance.
  • Master's degree in Data Science, Machine Learning, Statistics, or a related field, or;
    • nine (9) years of equivalent experience in AI/ML model development and deployment.
  • Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
  • Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
  • Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.
  • Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
  • Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
  • Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
  • Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.

Preferred Qualifications:
  • Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification.

Additional Information
Work Environment
  • Full remote flexibility.

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.

Apply