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Freelance Deep Learning Engineer Jobs in Remote, OR

SOSi

Senior Data Scientist

OR · On-site

Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering. * Experience with data provenance tracking, model explainability, and bias ...

SOSi

Senior Data Scientist

OR · On-site +1

Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering. * Experience with data provenance tracking, model explainability, and bias ...

Bausch+Lomb Companies Inc.

AI Agent ML Engineer

OR · On-site

$165K - $190K/yr

Our iconic brand is built on the deep trust and loyalty of our customers established over our 170 ... Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning ...

Bausch + Lomb

AI Agent ML Engineer

Myrtle Point, OR · On-site +1

$165K - $190K/yr

Our iconic brand is built on the deep trust and loyalty of our customers established over our 170 ... Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning ...

Amgen, Inc.

Director, R&D Learning Business Partner

OR · On-site

You will embed yourself alongside your stakeholders to form a deep understanding their business as ... Partner with internal and external content developers and trainers to curate and deliver high ...

Amgen, Inc.

Director, R&D Learning Business Partner

OR · On-site +1

You will embed yourself alongside your stakeholders to form a deep understanding their business as ... Partner with internal and external content developers and trainers to curate and deliver high ...

Syniti

Senior Software Engineer

OR · On-site

$114K - $151K/yr

We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex ... At Syniti you will find a supportive environment and access to learning tools, but micromanagement ...

Anytime AI

Infrastructure Engineer

OR · Remote

$100K - $200K/yr

Deep understanding of Web Service architecture, with exceptional skills in system tuning ... You are eager to keep up with the latest industry trends and committed to continuous learning and ...

Veeco Instruments, Inc.

Sr. Field Service Engineer

OR · On-site +1

... learning cycles, and performance validation. * Independently diagnose and resolve complex electro ... Deep, hands-on expertise with advanced semiconductor capital equipment, including a strong ...

Lumen Technologies

Lead Software Developer

OR · On-site +1

$108K - $136K/yr

The Role As a Senior Lead Software Engineer, you will be at the forefront of our AI initiatives ... Stay up to date with the latest advancements in AI and machine learning and apply this knowledge to ...

Mirantis

Program Management Director

OR · On-site

... learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable ...

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All JobsFreelance Deep Learning Engineer JobsFreelance Deep Learning Engineer Jobs in Remote, OR

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How much do freelance deep learning engineer jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for freelance deep learning engineer in Remote, OR is $47.66, according to ZipRecruiter salary data. Most workers in this role earn between $24.23 and $61.73 per hour, depending on experience, location, and employer.
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Freelance Deep Learning Engineer jobs near you

Senior Data Scientist

SOSi

OR • On-site

Full-time

Posted 13 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.

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