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Entry Level Machine Learning Engineer Jobs in Rosemount, MN

Machine Learning Engineer

Brooklyn Park, MN · On-site

$60.15 - $75.18/hr

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 ...

Tennant Company seeks a full-time Machine Learning Engineer based in Golden Valley, MN. Responsible for utilizing experience in emerging technologies such as Cloud computing, Big Data, Deep Machine ...

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

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

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

Machine Learning Tutor

Edina, MN · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Entry Level Machine Learning Engineer information

See Rosemount, MN salary details

$30.7K

$70.9K

$120.6K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for entry level machine learning engineer in Rosemount, MN is $70,915.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,700.00 and $80,300.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Rosemount, MN?

For Entry Level Machine Learning Engineer jobs in Rosemount, MN, the most frequently searched job titles are:

What cities near Rosemount, MN are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Rosemount, MN with the most Entry Level Machine Learning Engineer job openings:

Infographic showing various Entry Level Machine Learning Engineer job openings in Rosemount, MN as of August 2026, with employment types broken down into 5% Internship, and 95% Full Time. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution, with an average salary of $70,915 per year, or $34.1 per hour.

Machine Learning Engineer

Dahl Consulting

Brooklyn Park, MN • On-site

$60.15 - $75.18/hr

Other

Posted 7 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
---
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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