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Model Predictive Control Jobs in Minnesota (NOW HIRING)

Design, train, and validate traditional predictive and analytical machine learning models ... Familiarity with containerization technologies (Docker) and version control workflows (Git, GitHub ...

Design, train, and validate traditional predictive and analytical machine learning models ... Familiarity with containerization technologies (Docker) and version control workflows (Git, GitHub ...

Design, train, and validate traditional predictive and analytical machine learning models ... Familiarity with containerization technologies (Docker) and version control workflows (Git, GitHub ...

Power BI Data Engineer

Minneapolis, MN ยท On-site +1

$119K - $143K/yr

Build composite models and leverage advanced features like aggregations, incremental refresh, and ... Configure and manage Power BI/Fabric workspaces, deployment pipelines, and version control

Power BI Data Engineer

Minneapolis, MN ยท On-site +1

$119K - $143K/yr

Build composite models and leverage advanced features like aggregations, incremental refresh, and ... Configure and manage Power BI/Fabric workspaces, deployment pipelines, and version control

Power BI Data Engineer

Minneapolis, MN ยท On-site +1

$119K - $143K/yr

Build composite models and leverage advanced features like aggregations, incremental refresh, and ... Configure and manage Power BI/Fabric workspaces, deployment pipelines, and version control

Power BI Data Engineer

Minneapolis, MN ยท On-site

$105K - $120K/yr

Build composite models and leverage advanced features like aggregations, incremental refresh, and ... Configure and manage Power BI/Fabric workspaces, deployment pipelines, and version control

AI Engineer - AI/ML

Minnetonka, MN ยท On-site

$116K - $140K/yr

Design, develop, and deploy AI/ML and Generative AI models for predictive, prescriptive, and ... Apply best practices for LLM security, including output moderation, access control, and ...

AI Engineer - AI/ML

Minnetonka, MN ยท Hybrid

$116K - $140K/yr

Design, develop, and deploy AI/ML and Generative AI models for predictive, prescriptive, and ... Apply best practices for LLM security, including output moderation, access control, and ...

Showing results 21-40

Model Predictive Control information

What is model predictive control?

Model Predictive Control (MPC) is an advanced method of process control that uses a mathematical model to predict and optimize the future behavior of a system. It works by solving an optimization problem at each control step to determine the best sequence of control actions, taking into account system constraints and objectives. MPC is widely used in industries such as chemical processing, energy, and automotive because it can handle multivariable control problems and anticipate future events. Its predictive nature allows for improved performance, stability, and efficiency compared to traditional control methods.

What is the difference between Model Predictive Control vs Control Systems Engineer?

AspectModel Predictive ControlControl Systems Engineer
CredentialsEngineering degree, control theory, process modelingEngineering degree, control systems, automation
Work EnvironmentIndustrial automation, process control, manufacturingDesign, develop, and maintain control systems across industries
Industry UsageProcess industries, chemical, oil & gas, manufacturingAutomation, robotics, embedded systems, industrial sectors

Model Predictive Control (MPC) focuses on advanced control algorithms for optimizing processes, while Control Systems Engineers design and implement various control systems. MPC is a specialized skill within control engineering, often requiring knowledge of process modeling and optimization, whereas Control Systems Engineers have broader responsibilities across multiple control technologies. Both roles are essential in industrial automation but differ in scope and application.

What are the typical challenges faced by engineers working with model predictive control systems in an industrial setting?

Engineers working with Model Predictive Control systems often encounter challenges related to model accuracy, computational demands, and real-time implementation. Ensuring the process model accurately represents the plant dynamics is critical, as discrepancies can lead to suboptimal control performance. Additionally, MPC algorithms can be computationally intensive, particularly for large-scale or fast processes, requiring careful tuning and optimization to maintain real-time operation. Collaboration with process engineers and IT specialists is common, as integrating MPC with existing control systems and plant infrastructure is a key part of the role.

What are the key skills and qualifications needed to thrive as a model predictive control engineer, and why are they important?

To thrive as a Model Predictive Control Engineer, you need strong foundations in control theory, applied mathematics, and process engineering, usually supported by a degree in engineering or a related field. Proficiency with simulation tools such as MATLAB/Simulink, programming languages like Python or C++, and familiarity with industrial automation systems are typically required. Analytical thinking, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These skills are essential for designing, implementing, and optimizing advanced control algorithms that improve system performance and reliability in complex industrial environments.
What are popular job titles related to Model Predictive Control jobs in Minnesota? For Model Predictive Control jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Model Predictive Control jobs in Minnesota look for? The top searched job categories for Model Predictive Control jobs in Minnesota are:
Infographic showing various Model Predictive Control job openings in Minnesota as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Scientist

System One Holdings, LLC

Minneapolis, MN โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 18 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 Joulรฉ 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.
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Ref: #431-IT Tampa