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Machine Learning Engineer

Dahl Consulting

Brooklyn Park, Minnesota • Today

Easy Apply

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Full-time

Compensation information provided in the description

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ML Engineer in Minneapolis MN /Hartford, CT (Onsite)

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Contract, Third Party

Senior AI/ML Engineer - Remote

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

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USD 91,700.00 - 163,700.00 per year

Sr Machine Learning Engineer (15+ years IT exp)

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Minneapolis, Minnesota • 6d ago

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Senior AI/ML Engineer

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USD 120,100.00 - 214,500.00 per year

Lead AI ML Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

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Senior AI/ML Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Sr AI ML/Engineer - Remote Nationwide or Hybrid in MN/DC

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Lead AI/ML Engineer- Hybrid Eden Prairie, MN

UnitedHealth Group

Eden Prairie, Minnesota • Today

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USD 145,500.00 - 249,500.00 per year

AI/ML Engineer Remote Nationwide or Hybrid in MN/DC

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Remote or Minnetonka, Minnesota • Today

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USD 98,500.00 - 176,000.00 per year

Sr Machine Learning Engineer - Marketing and Corporate Systems (ML Ops)

Target Corporation

Brooklyn Park, Minnesota • Today

Full-time

USD 98,000.00 - 176,000.00 per year

Lead AI/ML Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

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USD 145,500.00 - 249,500.00 per year

Principal AI/ML Engineer - Sales Engineer- Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

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Lead AI/ML Engineer - Remote Nationwide or Hybrid in Eden Prairie, MN

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

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USD 145,500.00 - 249,500.00 per year

Lead AI/ML Engineer Remote Nationwide or Hybrid in MN/DC

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Senior AI/ML Engineer - Remote (Central Time Zone)

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 91,700.00 - 163,700.00 per year

Senior AI/ML Engineer Remote Nationwide or Hybrid in MN/DC/NJ

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

AI/ML Engineer - Hybrid Onsite In Eden Prairie, MN

UnitedHealth Group

Eden Prairie, Minnesota • Today

Full-time

USD 98,500.00 - 176,000.00 per year

AI / ML Engineer - AI Enablement - Canada

nFolks Data Solutions

Remote or Toronto, Ontario • 2d ago

Easy Apply

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Staff Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home - G

Next Step Systems

Remote • Today

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$150,000 - $170,000

Sr. AI/ML Engineer - Remote or Hybrid in Eden Prairie, MN or Irvine, CA

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Sr AI ML Engineer - Remote or Hybrid Eden Prairie, MN or Schaumburg, IL

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

AI/ML Engineer

Infinite Computer Solutions (ICS)

Remote • 2d ago

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Full-time

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Lead AI/ ML Engineer with Google Cloud Platform and Senior AI/ ML Engineer with Google Cloud Platform - Remote role

HPTech Inc.

Remote • Yesterday

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Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home - G

Next Step Systems

Remote • Today

Easy Apply

Full-time

$170,000 - $190,000

Principal Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home - G

Next Step Systems

Remote • Today

Easy Apply

Full-time

$170,000 - $200,000

Senior AI/ML Software Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Dahl Consulting

Job Details

Skills

Summary

Title: Machine Learning Engineer
Location: Brooklyn Park, MN
Job Type: Contract (4 Months)
Compensation: $60.15 - $75.18/hr
Industry: Retail

---
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!

#LI-CF1
#LI-Hybrid

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10109792
Position Id: 29856
Posted 6 hours ago

Company Info

About Dahl Consulting

Since 1993, Dahl Consulting has been a leader in providing and implementing adaptive staffing and workforce solutions for its clients. DAHL specializes in workforce process management, vendor management services, as well as sourcing and staffing services. Their workforce solutions and programs ensure clients have the right people, the right process, and the right relationships, all at the right cost. DAHL s size and service offerings enable them the flexibility to provide simple and affordable solutions adaptable to any enterprise s current program, as well as future growth. Visit www.dahlconsulting.com for more information.

The mission of Dahl Consulting is to assist businesses with the creation, delivery, and support of new and existing systems to improve their level of performance through one or a combination of our service offerings. Our core competency is managing the process of procuring contract and temporary labor by finding creative ways to maximize the efficiency and effectiveness of the customer's contingent labor program.

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Dahl Consulting

Job Details

Skills

Summary

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

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

Dice Id: 10109792
Position Id: 29856
Posted 6 hours ago