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Freelance Full Stack Machine Learning Engineer Jobs in Oregon

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications Bachelor's or ...

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications • Bachelor's or ...

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications • Bachelor's or ...

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications • Bachelor's or ...

Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research ... Hands-on experience implementing and scaling the full **post-training pipeline** for language ...

OR

$104K - $143K/yr

... and ELK/EFK stacks * Ensure ML deployments meet defense, customer, and platform security ... software engineering, machine learning engineering, MLOps, or related roles * Experience ...

New

OR

$134K - $180K/yr

The Machine Learning Engineer will tackle challenging problems and create scalable machine learning systems and platforms that make an impact on millions of users. This role will work closely with ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source ...

Description Tyto Athene is seeking a driven and adaptable Machine Learning Engineer to help shape the future of cybersecurity through automation and machine learning. This role is an opportunity to ...

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a team lead. You will own one of the team's major workstreams, help drive technical direction for the ...

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

The Machine Learning Engineer will work in close collaboration with the core instrument, assay and software teams to develop algorithms for data analysis and workflow automation. This role reports to ...

Comscore, Total Visits, March 2025) Day to Day As a Senior Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You'll be ...

OR · On-site

As a Principal Machine Learning Engineer, you will work at the intersection of applied ML and platform engineering-collaborating closely with Research Scientists, Data Scientists, and ML Platform ...

Senior Machine Learning Engineer

OR · On-site +1

$140K - $190K/yr

By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in building cutting-edge AI products that directly impact how new therapies reach patients. We're looking for ...

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Freelance Full Stack Machine Learning Engineer information

What is the difference between Freelance Full Stack Machine Learning Engineer vs Freelance Data Scientist?

AspectFreelance Full Stack Machine Learning EngineerFreelance Data Scientist
CredentialsProficiency in programming, machine learning, and full stack developmentStrong statistical, analytical, and programming skills, often with data analysis certifications
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights, mainly focusing on data analysis
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, reporting, and predictive modeling

Freelance Full Stack Machine Learning Engineers focus on building and deploying machine learning models within full stack applications, combining software development with ML expertise. Freelance Data Scientists primarily analyze data and create models for insights. While both roles require programming skills, the engineer's role emphasizes deployment and integration, whereas the data scientist's role centers on analysis and interpretation.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Oregon? The most popular types of Full Stack Machine Learning Engineer jobs in Oregon are:
What are popular job titles related to Freelance Full Stack Machine Learning Engineer jobs in Oregon? For Freelance Full Stack Machine Learning Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Freelance Full Stack Machine Learning Engineer jobs in Oregon look for? The top searched job categories for Freelance Full Stack Machine Learning Engineer jobs in Oregon are:
What cities in Oregon are hiring for Freelance Full Stack Machine Learning Engineer jobs? Cities in Oregon with the most Freelance Full Stack Machine Learning Engineer job openings:

Machine Learning Engineer

Chabez Tech

Portland, OR

Contractor

Posted 23 days ago


Job description

Job Description

Job Title: Machine Learning Engineer
Location: Portland, OR - Onsite (Local only / F2F interview)
Duration: 24 Months Contract

Experience Level: 5+ years of experience

Required Qualifications
    Bachelor's or master's degree in computer science, Machine Learning, Electrical Engineering, or related field 
    5+ years of experience in machine learning, data science, or AI engineering 
    Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) 
    Experience with time-series data analysis and anomaly detection 
    Hands-on experience with causal inference methods (e.g., Bayesian networks, structural causal models) 
    Experience building or working with knowledge graphs (Neo4j, RDF, graph databases) 
    Understanding of explainable AI techniques (SHAP, LIME, counterfactual analysis) 
    Experience deploying ML models in production systems 
    Strong problem-solving skills and ability to work with complex, real-world datasets

Preferred Qualifications
    Experience with fault tree analysis (FTA), reliability engineering, or failure analysis 
    Background in industrial systems, semiconductors, manufacturing, or IoT environments 
    Experience with graph-based ML / Graph Neural Networks (GNNs) 
    Familiarity with RCA methodologies (FMEA, 5 Whys, fishbone diagrams) 
    Experience with vector databases, RAG systems, or LLM-based reasoning 
    Knowledge of MLOps practices (CI/CD, monitoring, model governance) 
    Experience working in air-gapped or high-security environments 
 

Additional Information

All your information will be kept confidential according to EEO guidelines.