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ML Development Engineer

Dahl Consulting

Hybrid in Minneapolis, Minnesota • Today

Easy Apply

Contract

Depends on Experience

ML Development Engineer (Remote)

Dahl Consulting

Remote • Today

Easy Apply

Contract

Depends on Experience

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

Winning Edge Solutions, LLC

Minneapolis, Minnesota • Today

Easy Apply

Contract, Third Party

Senior Consultant, AI/ML Engineer

Horizontal Talent

Minneapolis, Minnesota • Today

Full-time

Compensation information provided in the description

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

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

AI/ML Engineer

York Solutions, LLC

Saint Paul, Minnesota • Today

Easy Apply

Contract

$80-$90

SR/Lead AI/ML Engineer & Data Scientist : Minnetonka, Minnesota ( Onsite from Day 1 ) : Exp Req : 10+

Nexwave

Minnetonka, Minnesota • 23d ago

Easy Apply

Contract, Third Party

Lead AI/ML Engineer

UnitedHealth Group

Minnetonka, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Lead Machine Learning Engineer - Merchandising AI (ML Ops)

Target Corporation

Brooklyn Park, Minnesota • Today

Full-time

USD 132,000.00 - 238,000.00 per year

Sr. AI/ML Engineer - OptumHealth - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

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

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 98,500.00 - 176,000.00 per year

Lead AI/ML Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • 21d ago

Full-time

USD 145,500.00 - 249,500.00 per year

Sr AI/ML Engineer Remote Nationwide or Office-Based 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

UnitedHealth Group

Eden Prairie, Minnesota • Today

Full-time

USD 72,800.00 - 130,000.00 per year

Senior AI/ML Engineer

UnitedHealth Group

Eden Prairie, Minnesota • Today

Full-time

USD 91,700.00 - 163,700.00 per year

Lead AI/ML Engineer - Eden Prairie, MN or Schaumburg, IL

UnitedHealth Group

Eden Prairie, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 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

Sr. AI/ML Engineer- Remote or Eden Prairie, MN

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Lead AI/ML Engineer (Java background)- Remote

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Lead AI/ML Engineer - Schaumburg, IL or Eden Prairie, MN

UnitedHealth Group

Eden Prairie, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Lead AI/ML Engineer Remote Nationwide or Office-Based in MN/DC

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 145,500.00 - 249,500.00 per year

Principal AI/ML Platform Engineer - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 164,600.00 - 282,200.00 per year

Sr. AI/ML Engineer - Java Background - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

AI/Machine Learning Engineer

3M Company

Maplewood, Minnesota • Today

Full-time

USD 124,127.00 - 151,710.00 per year

Principal AI/ML Engineer

UnitedHealth Group

Eden Prairie, Minnesota • Today

Full-time

USD 164,600.00 - 282,200.00 per year

ML ENGINEER/Remote

Apetan Consulting

Remote • 23d ago

Easy Apply

Third Party, Contract

Depends on Experience

Senior AI/ML Engineer - Remote

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 91,700.00 - 163,700.00 per year

Senior AI ML Software Engineer - Data Platforms - Remote Nationwide or Hybrid in MN or DC

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

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

Next Step Systems

Remote • Today

Easy Apply

Full-time

$150,000 - $170,000

Dahl Consulting

Job Details

Skills

Summary

Title: Development Engineer
Location: Minneapolis, MN (Hybrid)
Job Type: Contract (12 Months)
Compensation: $75.19 - $90.22/hr
Industry: Retail

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About the Role
Our client, a Fortune 50 retailer and leader in omnichannel commerce, is seeking a Development Engineer to support and modernize demand forecasting capabilities within its digital fulfillment organization. This team develops forecasting solutions that help optimize order volume planning, fulfillment capacity, and workforce utilization across multiple customer fulfillment channels.
In this role, you will collaborate closely with data scientists, machine learning engineers, and platform teams to bridge the gap between research and production. You will help scale forecasting platforms, build robust machine learning pipelines, and improve the reliability, performance, and efficiency of enterprise-scale forecasting systems that directly impact operational planning and customer experience.

Job Description
As a Development Engineer, you will play a key role in designing, implementing, and supporting machine learning and data engineering solutions that power large-scale forecasting platforms.
Responsibilities

Build, deploy, and maintain machine learning solutions in production environments.
Develop and optimize time-series forecasting models and supporting data pipelines.
Convert and scale data-processing workloads from pandas-based frameworks to PySpark and other distributed processing technologies.
Design and implement ML pipelines using orchestration tools such as Kubeflow Pipelines, Vertex AI, or Airflow.
Integrate data validation, model training, testing, and deployment processes into automated workflows.
Optimize data pipelines and storage solutions for scalability, performance, and cost efficiency.
Collaborate with data science teams to productionize research and analytics solutions.
Maintain and enhance existing Python applications and codebases following software engineering best practices.
Build and support CI/CD processes for machine learning workflows and platform deployments.
Implement cloud-native solutions leveraging Google Cloud Platform (GCP) services and containerized environments.
Monitor system performance, troubleshoot production issues, and improve operational reliability.
Contribute to architecture decisions that support enterprise-scale forecasting and fulfillment systems.

Qualifications
Required Qualifications

Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field; or equivalent practical experience.
Experience building and deploying machine learning models in production environments.
Hands-on experience with time-series forecasting methodologies such as Prophet, ARIMA, or similar frameworks.
Strong understanding of model validation, experiment tracking, and hyperparameter tuning.
Experience with feature engineering and feature store concepts.
Proficiency in Python and software development best practices.
Experience working with distributed data processing technologies such as Spark, Dask, Ray, or similar platforms.
Demonstrated ability to transform and scale large datasets using PySpark.
Experience designing and optimizing data pipelines for performance, reliability, and cost efficiency.
Working knowledge of analytical data platforms such as BigQuery, including dataset design, partitioning, clustering, and data validation.
Experience building and maintaining machine learning pipelines using Kubeflow Pipelines (KFP), Vertex AI, Airflow, or similar orchestration platforms.
Understanding of pipeline architecture, workflow orchestration, caching strategies, and configuration management.
Experience using Git-based version control and structured change management processes.
Familiarity with testing frameworks, dependency management tools, and code quality practices.
Experience working with cloud platforms such as Google Cloud Platform (GCP), AWS, or Azure.
Knowledge of containerization and orchestration technologies including Docker and Kubernetes.
Experience implementing CI/CD pipelines and deployment automation.
Understanding of secrets management and secure environment configuration.

Preferred Qualifications

Experience with Ray for distributed machine learning training and inference.
Exposure to Hadoop ecosystem technologies, including Hive, HDFS, or Spark on YARN.
Knowledge of machine learning model monitoring, observability, and drift detection.
Experience with infrastructure-as-code tools such as Terraform or Cloud Deployment Manager.
Familiarity with retail, merchandising, supply chain, fulfillment, or demand forecasting environments.
Experience partnering with data science teams to productionize research and analytical models.
Background scaling machine learning applications from prototype environments to enterprise-grade production platforms.
Experience supporting globally distributed teams across multiple time zones.
Knowledge of operational readiness practices, including automated alerting, runbooks, and support playbooks.
Advanced experience tuning application performance and designing highly scalable systems.

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-LS1
#LI-Onsite

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: 30076
Posted 19 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

Build, deploy, and maintain machine learning solutions in production environments.
Develop and optimize time-series forecasting models and supporting data pipelines.
Convert and scale data-processing workloads from pandas-based frameworks to PySpark and other distributed processing technologies.
Design and implement ML pipelines using orchestration tools such as Kubeflow Pipelines, Vertex AI, or Airflow.
Integrate data validation, model training, testing, and deployment processes into automated workflows.
Optimize data pipelines and storage solutions for scalability, performance, and cost efficiency.
Collaborate with data science teams to productionize research and analytics solutions.
Maintain and enhance existing Python applications and codebases following software engineering best practices.
Build and support CI/CD processes for machine learning workflows and platform deployments.
Implement cloud-native solutions leveraging Google Cloud Platform (GCP) services and containerized environments.
Monitor system performance, troubleshoot production issues, and improve operational reliability.
Contribute to architecture decisions that support enterprise-scale forecasting and fulfillment systems.

Qualifications
Required Qualifications

Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field; or equivalent practical experience.
Experience building and deploying machine learning models in production environments.
Hands-on experience with time-series forecasting methodologies such as Prophet, ARIMA, or similar frameworks.
Strong understanding of model validation, experiment tracking, and hyperparameter tuning.
Experience with feature engineering and feature store concepts.
Proficiency in Python and software development best practices.
Experience working with distributed data processing technologies such as Spark, Dask, Ray, or similar platforms.
Demonstrated ability to transform and scale large datasets using PySpark.
Experience designing and optimizing data pipelines for performance, reliability, and cost efficiency.
Working knowledge of analytical data platforms such as BigQuery, including dataset design, partitioning, clustering, and data validation.
Experience building and maintaining machine learning pipelines using Kubeflow Pipelines (KFP), Vertex AI, Airflow, or similar orchestration platforms.
Understanding of pipeline architecture, workflow orchestration, caching strategies, and configuration management.
Experience using Git-based version control and structured change management processes.
Familiarity with testing frameworks, dependency management tools, and code quality practices.
Experience working with cloud platforms such as Google Cloud Platform (GCP), AWS, or Azure.
Knowledge of containerization and orchestration technologies including Docker and Kubernetes.
Experience implementing CI/CD pipelines and deployment automation.
Understanding of secrets management and secure environment configuration.

Preferred Qualifications

Experience with Ray for distributed machine learning training and inference.
Exposure to Hadoop ecosystem technologies, including Hive, HDFS, or Spark on YARN.
Knowledge of machine learning model monitoring, observability, and drift detection.
Experience with infrastructure-as-code tools such as Terraform or Cloud Deployment Manager.
Familiarity with retail, merchandising, supply chain, fulfillment, or demand forecasting environments.
Experience partnering with data science teams to productionize research and analytical models.
Background scaling machine learning applications from prototype environments to enterprise-grade production platforms.
Experience supporting globally distributed teams across multiple time zones.
Knowledge of operational readiness practices, including automated alerting, runbooks, and support playbooks.
Advanced experience tuning application performance and designing highly scalable systems.

Dice Id: 10109792
Position Id: 30076
Posted 19 hours ago

Company Info

About Dahl Consulting

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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