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Director Machine Learning Jobs in Maple Grove, MN

Design, train, and validate traditional predictive and analytical machine learning models ... leadership, product directors, and enterprise architects to define the AI/ML product roadmap.

Design, train, and validate traditional predictive and analytical machine learning models ... leadership, product directors, and enterprise architects to define the AI/ML product roadmap.

Design, train, and validate traditional predictive and analytical machine learning models ... leadership, product directors, and enterprise architects to define the AI/ML product roadmap.

Design, train, and validate traditional predictive and analytical machine learning models ... leadership, product directors, and enterprise architects to define the AI/ML product roadmap.

Machine Operator

Hamel, MN ยท On-site

$20 - $24/hr

With a small, agile team, your work will be seen, valued, and have a direct impact on the business ... Whether it's learning a new tool or exploring a fresh idea, we encourage curiosity and continuous ...

Senior AI Engineer

Minneapolis, MN ยท On-site

$57.75 - $74.25/hr

... the Managing Director on technical priorities and secure AI governance Qualifications * 7+ years of experience across software engineering, data engineering, or machine learning operations

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

Machine Operator

Hamel, MN ยท On-site

$20 - $24/hr

With a small, agile team, your work will be seen, valued, and have a direct impact on the business ... Whether it's learning a new tool or exploring a fresh idea, we encourage curiosity and continuous ...

AI Solutions Engineering Delivery Lead

Minneapolis, MN ยท On-site

$107K - $140K/yr

... Director & Summary At PwC, our people in data and analytics engineering focus on leveraging ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

Analyzing formulation, process, and performance data using statistical and machine learning ... Curious, fast learner, solid communicator, self-directed in acquiring new technical skills Work ...

Analyzing formulation, process, and performance data using statistical and machine learning ... Curious, fast learner, solid communicator, self-directed in acquiring new technical skills Work ...

Machine Shop Support Technician

Hamel, MN ยท On-site

$38 - $50/hr

With a small, agile team, your work will be seen, valued, and have a direct impact on the business ... Whether it's learning a new tool or exploring a fresh idea, we encourage curiosity and continuous ...

Machine Shop Support Technician

Hamel, MN ยท On-site

$38 - $50/hr

With a small, agile team, your work will be seen, valued, and have a direct impact on the business ... Whether it's learning a new tool or exploring a fresh idea, we encourage curiosity and continuous ...

Showing results 41-60

Director Machine Learning information

See Maple Grove, MN salary details

$36.9K

$94.1K

$144.4K

How much do director machine learning jobs pay per year?

As of Sep 11, 2026, the average yearly pay for director machine learning in Maple Grove, MN is $94,134.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,200.00 and $108,500.00 per year, depending on experience, location, and employer.

What is a director machine learning?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a director machine learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the key skills and qualifications needed to thrive in the director machine learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

Is a machine learning director a high paying job?

A machine learning director typically earns a high salary due to the specialized skills, leadership responsibilities, and experience required for the role. Compensation often includes base salary, bonuses, and stock options, reflecting the demand for expertise in AI and data science. Salaries can vary based on industry, company size, and location, but generally rank among the higher-paying technology leadership positions.

What does a director of machine learning do?

A director of machine learning oversees the development and implementation of machine learning strategies and projects within an organization. They lead teams of data scientists and engineers, set technical goals, ensure project alignment with business objectives, and often collaborate with other departments to integrate AI solutions using tools like Python, TensorFlow, or PyTorch.

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 job categories do people searching Director Machine Learning jobs in Maple Grove, MN look for?

The top searched job categories for Director Machine Learning jobs in Maple Grove, MN are:

What cities near Maple Grove, MN are hiring for Director Machine Learning jobs?

Cities near Maple Grove, MN with the most Director Machine Learning job openings:

Infographic showing various Director Machine Learning job openings in Maple Grove, MN as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $94,134 per year, or $45.3 per hour.

Data Scientist

Minneapolis, MN โ€ข On-site

System One
Business Consulting Servicesย โ€ขย 5 - 10K employees

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 21 days ago


Job description

Job Title: Data Scientist Location: Minneapolis, MN Job Summary: System One is seeking a Data Scientist with 5+ years of hands-on experience to design, build, and deploy production-grade machine learning models. In this role, you will bridge the gap between traditional data science and software engineering by writing clean, modular Python code to build robust AI capabilities embedded directly into our enterprise products and systems. Responsibilities

  • Design, train, and validate traditional predictive and analytical machine learning models (regression, classification, decision trees, time-series, and neural networks).
  • Write scalable, production-grade Python code to wrap models into microservices and expose them via RESTful APIs for real-time inference.
  • Build and maintain automated data preprocessing, feature engineering, and model evaluation pipelines using CI/CD and MLOps best practices.
  • Track model performance, data drift, and latency in production, ensuring reliability and accuracy over time.
  • Collaborate directly with executive leadership, product directors, and enterprise architects to define the AI/ML product roadmap.
Requirements
  • 5-7+ years of progressive professional experience designing, shipping, and maintaining complex ML/AI solutions in enterprise production environments.
  • Experience building and deploying machine learning models in a production environment.
  • Strong practical experience with core ML algorithms (scikit-learn, XGBoost, LightGBM, statsmodels, PyTorch, or TensorFlow).
  • Demonstrated capability in writing clean, PEP 8-compliant, modular, and object-oriented Python code (beyond Jupyter notebooks).
  • Experience using automated testing frameworks (pytest, unittest) and writing unit/integration tests.
  • Hands-on experience developing RESTful APIs using frameworks like FastAPI or Flask.
  • Familiarity with containerization technologies (Docker) and version control workflows (Git, GitHub Actions, or GitLab CI/CD).
  • Advanced SQL proficiency and experience querying structured and unstructured datasets.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative field.
Preferred Qualifications:
  • Generative AI & Enterprise LLMs: Hands-on experience developing, fine-tuning (LoRA/QLoRA), or deploying proprietary Large Language Models (LLMs), agentic frameworks, custom embeddings, or enterprise RAG systems.
  • Experience with GPU acceleration frameworks (CUDA, TensorRT, vLLM, Ollama).
  • Demonstrated leadership in mentoring teams and defining enterprise data and AI governance policies.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M-1

Ref: #431-IT Tampa


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About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US