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Machine Learning Engineer Hybrid Jobs in Minnesota

Jobtailor

Machine Learning Engineer

Virginia, MN · On-site

$150 - $190/hr

Guide clients in navigating ML algorithms, tools, and frameworks Requirements * 2+ years of experience with artificial intelligence, data science, or machine learning engineering * Experience with ...

Tennant Company

Machine Learning Engineer

Golden Valley, MN · On-site

$119K - $122K/yr

Tennant Company seeks a full-time Machine Learning Engineer based in Golden Valley, MN. Responsible ... This is a hybrid role with required 3 days onsite. Salary: $119,642 - $122,600/year. Please apply ...

Tennant Company

Machine Learning Engineer

Golden Valley, MN · Hybrid

$119K - $122K/yr

Tennant Company seeks a full-time Machine Learning Engineer based in Golden Valley, MN. Responsible ... This is a hybrid role with required 3 days onsite. Salary: $119,642 - $122,600/year. Please apply ...

Tennant Company

Machine Learning Engineer

Golden Valley, MN · Hybrid

$119K - $122K/yr

Tennant Company seeks a full-time Machine Learning Engineer based in Golden Valley, MN. Responsible ... This is a hybrid role with required 3 days onsite. Salary: $119,642 - $122,600/year. Please apply ...

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

Onsights

Senior Machine Learning Engineer

Minneapolis, MN · On-site

$109K - $149K/yr

As a Senior Machine Learning Engineer, you will design, develop, test, document, deploy, and maintain production machine learning and statistical modeled software to automate processes and streamline ...

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All JobsMachine Learning Engineer Hybrid JobsMachine Learning Engineer Hybrid Jobs in Minnesota

Machine Learning Engineer Hybrid information

What is the difference between Machine Learning Engineer Hybrid vs Data Scientist?

AspectMachine Learning Engineer HybridData Scientist
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops, tests, deploys ML models; collaborates with engineering teamsAnalyzes data, builds models, interprets results; works across departments
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Machine Learning Engineer Hybrid focuses on developing and deploying ML models within engineering environments, often requiring coding and deployment skills. Data Scientists analyze data, build models, and interpret results, often in research or strategic roles. While both roles require strong analytical skills and knowledge of ML, the Engineer Hybrid emphasizes deployment and integration, whereas Data Scientists focus on data analysis and insights.

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Machine Learning Engineer Hybrid jobs near you

Machine Learning Engineer

Dahl Consulting

Brooklyn Park, MN • On-site

$60.15 - $75.18/hr

Other

Posted 11 days ago

Job description

Title: Machine Learning Engineer
Location: Brooklyn Park, MN
Job Type: Contract (4 Months)
Compensation: $60.15 - $75.18/hr
Industry: Retail
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About the Role
We are partnering with a leading national retail corporation to find a skilled Machine Learning Engineer to support and maintain production ML pipelines. In this role, you will help power the data science applications that generate inventory and workload insights across a large-scale retail store network. This is an excellent opportunity for an engineer who thrives in a cloud-native environment and enjoys balancing operational reliability with targeted development contributions.
Job Description
The Machine Learning Engineer will support and maintain production ML pipelines that generate inventory and workload insights for our client''s stores data science applications. These workflows run on GCP/Vertex AI using Kubeflow Pipelines (KFP), leveraging Python and PySpark. Key responsibilities include:
  • Monitoring, troubleshooting, and improving daily pipeline operations to ensure reliability and SLA compliance
  • Enhancing the stability, performance, and observability of existing pipelines
  • Implementing monitoring and alerting solutions using GCP-native tooling and custom instrumentation
  • Proactively identifying improvement opportunities within a cloud-native GCP environment
  • Balancing operational support with targeted development contributions
The ideal candidate is comfortable in a cloud-native GCP environment, proactive in identifying improvement opportunities, and effective at balancing operational support with targeted development contributions.
Qualifications
Required Qualifications:
  • Proficiency with Python, with working knowledge of PySpark
  • Hands-on experience with GCP services, including:
    • Vertex AI
    • BigQuery
    • Kubeflow Pipelines (KFP)
    • Cloud Monitoring
  • Familiarity with ML workflow orchestration tools (KFP, Airflow, or equivalents)
  • Strong background in job monitoring and troubleshooting within cloud-native, distributed environments
  • Knowledge of observability practices using GCP Cloud Monitoring, OpenTelemetry (OTEL), and custom metrics instrumentation
  • Hands-on experience with GitHub workflows, including pull requests, branching strategies, and code reviews
  • Strong analytical and troubleshooting skills with a keen attention to detail
  • Clear and effective communication in cross-functional environments
Preferred Qualifications:
  • Demonstrated ability to balance operational stability with proactive improvement
  • Collaborative approach, with the ability to work effectively alongside engineers, data scientists, and operations staff
Benefits
Dahl Consulting is proud to offer a comprehensive benefits package to eligible employees that will allow you to choose the best coverage to meet your family’s needs. For details, please review the DAHL Benefits Summary: https://www.dahlconsulting.com/benefits-w2fta/.
How to Apply
Take the first step on your new career path! To submit yourself for consideration for this role, simply click the apply button and complete our mobile-friendly online application. Once we’ve reviewed your application details, a recruiter will reach out to you with next steps!
Equal Opportunity Statement
As an equal opportunity employer, Dahl Consulting welcomes candidates of all backgrounds and experiences to apply. If this position sounds like the right opportunity for you, we encourage you to take the next step and connect with us. We look forward to meeting you!
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