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Machine Learning Manager Jobs in Maple Grove, MN

Deloitte

AI Data Engineer - Manager

Minneapolis, MN · On-site

... manage machine learning models and large language models. • Conduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on ...

Deloitte

Oracle AI Manager

Minneapolis, MN

Work you'll do As a Manager, Oracle AI on the AI & Engineering team, you will be responsible for ... Architect AI and machine learning solutions using Oracle Cloud Infrastructure, Oracle AI Services ...

Deloitte

AI Solutions Architect

Minneapolis, MN · On-site

$65.75 - $86.75/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements * Developing account growth strategies, managing ...

Precision Technologies Corp

GCP ML Architect - Data

Chaska, MN · On-site

$68.25 - $88/hr

Responsible for designing, implementing, and managing data and machine learning solutions on Google Cloud Platform * Key Responsibilities: * Design end-to-end data solutions, including data ingestion ...

Deloitte

AI Data Engineer - Manager

Minneapolis, MN

$119K - $143K/yr

Lead the development of AI models (e.g., machine learning, natural language processing, computer ... Risk Management and Ethical Considerations * Work closely with security and risk leaders to foresee ...

Huntington

Senior Data Scientist

Minnetonka, MN

$70K - $140K/yr

At Huntington, you will leverage machine learning, segmentation, and statistical inference on huge ... management reports, and analysis for decision-making processes. Responsibilities: * Performs ...

Pwc

CTIO AI Engineering Manager

Minneapolis, MN · On-site

$73K - $244K/yr

Industry/Sector Not Applicable Specialism IFS - Information Technology (IT) Management Level ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

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All JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Maple Grove, MN

Machine Learning Manager information

See Maple Grove, MN salary details

$52.2K

$83.7K

$120.8K

How much do machine learning manager jobs pay per year?

As of Jun 20, 2026, the average yearly pay for machine learning manager in Maple Grove, MN is $83,665.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $94,700.00 per year, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning executive or specialized researcher, often requiring advanced skills, extensive experience, and leadership responsibilities. These roles may involve overseeing AI strategy, managing teams, and working with cutting-edge tools and frameworks, and they are usually found in large tech companies or innovative organizations offering top-tier compensation.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What is a machine learning manager?

A machine learning manager oversees teams developing and deploying machine learning models and algorithms. They coordinate projects, set strategic goals, and ensure technical quality, often requiring knowledge of data science, programming, and project management tools. Their role involves collaboration with data scientists, engineers, and stakeholders to implement AI solutions effectively.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, data analysis, and programming languages like Python or TensorFlow. Salaries vary based on experience, location, and industry, but overall, it is considered a well-compensated role in the tech field.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams. Roles requiring high-level strategic thinking, creativity, and emotional intelligence—such as healthcare professionals, educators, and skilled tradespeople—are also likely to persist despite AI advancements. These jobs often involve tasks that are difficult for AI to replicate fully.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Maple Grove, MN? The most popular types of Machine Learning jobs in Maple Grove, MN are:
What cities near Maple Grove, MN are hiring for Machine Learning Manager jobs? Cities near Maple Grove, MN with the most Machine Learning Manager job openings:
Machine Learning Manager jobs near you
Machine Learning Engineer- AI Data Platform (Minneapolis, MN)

Machine Learning Engineer- AI Data Platform (Minneapolis, MN)

MOBE

Minneapolis, MN • On-site

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

About the Organization
MOBE guides people to better health and more happiness. We help people discover connections between aspects of their lifestyle that affect health and well-being, including their medications and supplements. Behind our innovative solutions are robust data analytics, digital application, and a uniquely human philosophy. With one-to-one connection and compassion, we motivate people to transform their lives.
MOBE is a high-growth organization with a culture built on trust and collaboration and our team is our most significant asset. Supporting and empowering others is at the core of our service and is also the foundation of our culture. We value a workforce made up of people with differences who are eager to learn from each other and grow personally and professionally. We extend this approach to our partners and communities, seeking to increase understanding and expand opportunities across all groups. Go to https://www.mobeforlife.com/DEI for more about diversity, equity, and inclusion at MOBE.
Description
Company Overview
MOBE helps people discover new ways to live healthier. We are the whole-person, cross-condition solution that goes further to deliver better health and lower overall costs through evidence-based individual health guidance and pharmacist-led medication management. We empower individuals to make meaningful changes that improve their health and overall well-being. Behind our innovative solutions are robust data analytics, digital application, and a uniquely human philosophy. With one-to-one connection and compassion, we uncover opportunities, overcome challenges, and motivate people to transform their lives.
At MOBE our team is our most significant asset. We cultivate a culture grounded in curiosity, innovation, and growth. We encourage new ideas, fresh solutions, and meaningful impact. We value a workforce made up of people with differences who are eager to learn from each other and grow personally and professionally. We extend this approach to our partners and communities, seeking to increase understanding and expand opportunities across all groups.
Your role at MOBE
We are seeking a highly skilled AI Engineer to serve as a core builder of our AI Data Platform. This role sits at the intersection of machine learning engineering, data platform development, and business intelligence, with responsibility for designing and operating the infrastructure that powers AI-driven insights across the organization.
You will build intelligent data pipelines, production-grade ML systems, and AI-enabled features that translate complex data into actionable outcomes. This role is ideal for an engineer who enjoys working end-to-end from data ingestion and feature engineering to model deployment and downstream consumption in analytics and BI tools.
**Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Responsibilities:
  • Build AI-first data pipelines: Design, implement, and maintain scalable data pipelines that support model training, inference, and analytics use cases across the AI Data Platform.
  • Deploy production ML systems: Develop, deploy, and monitor machine learning models using AWS SageMaker, ensuring reliability, observability, and performance in production environments.
  • Implement Retrieval-Augmented Generation (RAG): Architect and maintain RAG-based systems that combine structured and unstructured data to power AI-driven insights and applications.
  • Operationalize ML lifecycle management: Use MLflow for experiment tracking, model versioning, and lifecycle management to support reproducibility and continuous improvement.
  • Design feature infrastructure: Build and manage feature stores (e.g., Feast, Tecton, or SageMaker Feature Store) to ensure consistent, reusable features across training and inference.
  • Orchestrate complex workflows: Create and manage Apache Airflow DAGs to orchestrate data transformations, model pipelines, and AI workflows with clear dependencies and monitoring.
  • Enable analytics consumption: Partner with BI and analytics teams to ensure ML outputs integrate cleanly with our internal BI reporting hub.
  • Translate business questions into AI solutions: Collaborate with stakeholders to convert ambiguous business problems into measurable ML- and data-driven solutions.
  • Uphold data quality and governance: Ensure AI pipelines and models adhere to data governance, security, and quality standards, particularly when handling sensitive data.
  • Collaborate cross-functionally: Work closely with Data Science, Analytics Engineering, Medical Economics, and DataOps to align AI platform capabilities with business priorities.

Position Requirements
Qualifications:
Required:
  • Five to Seven Years in the ML Engineering space.
  • Strong proficiency in Python and SQL for data processing, modeling, and pipeline development.
  • Hands-on experience building and deploying machine learning models in production, including monitoring and performance management.
  • Experience with AWS-based ML infrastructure, including SageMaker for training, deployment, and inference.
  • Practical experience designing or operating RAG systems that integrate LLMs with enterprise data sources.
  • Experience using MLflow (or equivalent) for experiment tracking, model registry, and lifecycle management.
  • Experience with Apache Airflow for orchestration of data and ML pipelines.
  • Strong foundation in data engineering concepts, including data modeling, versioning, and testing.
  • Ability to partner with Med Econ and BI teams to ensure ML outputs are interpretable, trusted, and consumable.

Preferred:
  • Experience with AWS Bedrock and/or Aider for LLM orchestration or AI-assisted development workflows.
  • Experience with dbt for transformation modeling, testing, and documentation.
  • Familiarity with feature store architectures (Feast, Tecton, SageMaker Feature Store).
  • Experience integrating ML outputs into BI tools such as Tableau, Looker, or QuickSight.
  • Experience with CI/CD pipelines, Git-based workflows, and infrastructure-as-code practices.
  • Exposure to healthcare or regulated data environments is a plus but not required.

Nice to Have:
  • Working knowledge of Docker and Kubernetes for scalable deployment of ML services.
  • Experience implementing data observability, model drift detection, or AI governance tooling.
  • Experience fine-tuning or adapting large language models for domain-specific use cases.

Values
  • People First. We show we care because we believe in the power of human connection
  • Spark Positivity. We each have the power to turn any challenge into something awesome.
  • Stay Curious. We relentlessly discover and embrace new ideas to keep moving forward.

Benefits and Compensation
We offer a comprehensive benefits package
  • Paid time off
  • Medical, dental, and vision insurance
  • Life and disability insurance
  • 401(k) with company match
  • Tuition reimbursement
  • Additional benefits available to eligible employees

The salary range for this position is $114,000-$130,000 based on experience and qualifications.
Full-Time/Part-Time
Full-Time
EOE Statement
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
Location
Minneapolis
This position is currently accepting applications.

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