Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview ... MLOps practices (CI/CD, monitoring, model governance) Experience working in air-gapped or high ...
Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview ... MLOps practices (CI/CD, monitoring, model governance) Experience working in air-gapped or high ...
Machine Learning Engineer
Portland, OR · On-site
Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 ... of MLOps practices (CI/CD, monitoring, model governance) • Experience working in air-gapped or ...
Machine Learning Engineer
Portland, OR · On-site
Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 ... of MLOps practices (CI/CD, monitoring, model governance) • Experience working in air-gapped or ...
OR · On-site
$104K - $143K/yr
Evaluate and integrate emerging MLOps, distributed training, and edge inference technologies to ... software engineering, machine learning engineering, MLOps, or related roles * Experience ...
Senior Machine Learning Engineer
OR · Remote
$140K - $190K/yr
Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy ... machine learning fundamentals (model selection, training, evaluation, feature engineering) and ...
Senior Machine Learning Engineer
OR · Remote
$140K - $190K/yr
Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy ... machine learning fundamentals (model selection, training, evaluation, feature engineering) and ...
Description Tyto Athene is seeking a driven and adaptable Machine Learning Engineer to help shape ... Strong MLOps skills and understanding of the severity of risks such as semantic drift in a security ...
Description Tyto Athene is seeking a driven and adaptable Machine Learning Engineer to help shape ... Strong MLOps skills and understanding of the severity of risks such as semantic drift in a security ...
OR · On-site
As a Machine Learning at BetterHelp, you'll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to ...
OR · On-site
As a Machine Learning at BetterHelp, you'll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to ...
Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research and model fine tuning. This role sits at the intersection of research and engineering: the ideal ...
Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research and model fine tuning. This role sits at the intersection of research and engineering: the ideal ...
Contribute to internal initiatives such as IP development, accelerators, reference architectures, templates, playbooks, and training related to machine learning engineering and MLOps. * Represent ...
$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 ...
Senior Machine Learning Engineer, MLOps West Coast
Portland, OR · On-site
$131K - $235K/yr
As a Senior Machine Learning Engineer focused on Machine Learning Ops (MLOps) for CAD and BIM, you will ensure AI-powered experiences meet high standards for reliability, scalability, and operational ...
Senior Machine Learning Engineer, MLOps West Coast
Portland, OR · On-site
$131K - $235K/yr
As a Senior Machine Learning Engineer focused on Machine Learning Ops (MLOps) for CAD and BIM, you will ensure AI-powered experiences meet high standards for reliability, scalability, and operational ...
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 ...
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 ...
Machine Learning Engineer
Portland, OR · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Portland, OR · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Gresham, OR · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Gresham, OR · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Salem, OR · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Salem, OR · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Senior Machine Learning Engineer, MLOps West Coast
Portland, OR · On-site
$131K - $235K/yr
As a Senior Machine LearningEngineer focused on Machine Learning Ops (MLOps) for CAD and BIM, you ... You will partner closely with researchers, evaluation engineers, and product teams to translate ...
Senior Machine Learning Engineer, MLOps West Coast
Portland, OR · On-site
$131K - $235K/yr
As a Senior Machine LearningEngineer focused on Machine Learning Ops (MLOps) for CAD and BIM, you ... You will partner closely with researchers, evaluation engineers, and product teams to translate ...
Machine Learning Engineer
Eugene, OR · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
Machine Learning Engineer
Eugene, OR · On-site
Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...
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 ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
Mlops Machine Learning Engineer information
What does an MLOps Machine Learning Engineer do?
An MLOps Machine Learning Engineer bridges the gap between data science and IT operations by developing, deploying, and maintaining machine learning models in production environments. They are responsible for automating workflows, managing model versioning, monitoring performance, and ensuring scalability and reliability of ML systems. Their work enables organizations to deploy machine learning solutions efficiently and consistently, making it easier to update and manage models as business needs evolve.
How does an MLOps Machine Learning Engineer typically collaborate with data scientists and software engineers during the deployment of machine learning models?
An MLOps Machine Learning Engineer acts as a bridge between data scientists and software engineers, ensuring machine learning models transition smoothly from development to production. They often work closely with data scientists to understand model requirements, data pipelines, and performance metrics, while also collaborating with software engineers to integrate models into scalable systems. Regular communication, shared documentation, and joint troubleshooting sessions are common, as the role requires aligning model performance with system reliability and maintainability. This collaborative environment helps ensure that models are robust, scalable, and impactful in real-world applications.
What is the difference between Mlops Machine Learning Engineer vs Data Scientist?
| Aspect | Mlops Machine Learning Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or master's in CS, data science, or related fields; certifications in cloud platforms or MLOps tools | Bachelor's or master's in statistics, data science, or related fields; certifications in data analysis or machine learning |
| Work Environment | Focus on deploying, maintaining, and scaling ML models in production environments | Focus on data analysis, model development, and insights generation |
| Employer & Industry Usage | Tech companies, startups, enterprises implementing ML solutions | Research institutions, analytics firms, tech companies for data insights |
While both roles involve machine learning, Mlops Machine Learning Engineers specialize in deploying and maintaining models in production, ensuring scalability and reliability. Data Scientists primarily focus on developing models and analyzing data to generate insights. The roles often overlap but differ in their core responsibilities and work environments.
What are the key skills and qualifications needed to thrive as an MLOps Machine Learning Engineer, and why are they important?
To thrive as an MLOps Machine Learning Engineer, you need a strong background in machine learning concepts, software engineering, and cloud infrastructure, 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 certifications such as Google Professional Machine Learning Engineer are highly beneficial. Strong problem-solving abilities, collaboration, and communication skills help you work effectively across data science and engineering teams. These skills are essential for reliably deploying, monitoring, and maintaining scalable machine learning solutions in production environments.
What are popular job titles related to Mlops Machine Learning Engineer jobs in Oregon? For Mlops Machine Learning Engineer jobs in Oregon, the most frequently searched job titles are:
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What cities in Oregon are hiring for Mlops Machine Learning Engineer jobs? Cities in Oregon with the most Mlops Machine Learning Engineer job openings:
Contractor
Re-posted 16 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 fieldÂ
   5+ years of experience in machine learning, data science, or AI engineeringÂ
   Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow)Â
   Experience with time-series data analysis and anomaly detectionÂ
   Hands-on experience with causal inference methods (e.g., Bayesian networks, structural causal models)Â
   Experience building or working with knowledge graphs (Neo4j, RDF, graph databases)Â
   Understanding of explainable AI techniques (SHAP, LIME, counterfactual analysis)Â
   Experience deploying ML models in production systemsÂ
   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 analysisÂ
   Background in industrial systems, semiconductors, manufacturing, or IoT environmentsÂ
   Experience with graph-based ML / Graph Neural Networks (GNNs)Â
   Familiarity with RCA methodologies (FMEA, 5 Whys, fishbone diagrams)Â
   Experience with vector databases, RAG systems, or LLM-based reasoningÂ
   Knowledge of MLOps practices (CI/CD, monitoring, model governance)Â
   Experience working in air-gapped or high-security environmentsÂ
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Additional Information
All your information will be kept confidential according to EEO guidelines.