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Model Predictive Control Jobs in Illinois (NOW HIRING)

NinjaHoldings

Data Scientist

Chicago, IL · On-site +1

$90K - $130K/yr

... to take control of their finances via a full suite of digital banking and lending products ... Build predictive models to optimize lending decisions by using advanced statistical modeling and ...

NinjaHoldings

Data Scientist

Chicago, IL · On-site +1

$90K - $130K/yr

... to take control of their finances via a full suite of digital banking and lending products ... Build predictive models to optimize lending decisions by using advanced statistical modeling and ...

MessageControl

Data Scientist

Chicago, IL

Build complex predictive models using Machine Learning and Deep Learning algorithms to ... Previous software development experience is required, including usage of version control systems ...

MessageControl

Data Scientist

Chicago, IL · On-site

Build complex predictive models using Machine Learning and Deep Learning algorithms to ... Previous software development experience is required, including usage of version control systems ...

Field of Talent

GIS Analyst

Taylorville, IL · On-site

$25 - $29/hr

... into predictive, highly accessible dashboards. Build modern mapping pipelines from the ground up ... models. * Geodatabase Architecture: Maintain, structure, and verify the quality assurance (QA/QC) ...

Siemens

Software Architect

Chicago, IL · On-site

They combine software (e.g., MES, ERP, SCADA), AI (e.g., predictive models, LLMs), and automation (e.g., machine and plant control) to optimize operations and deliver real value, such as higher yield ...

HUB

ServiceNow Developer

Chicago, IL · Remote

$55.75 - $76.50/hr

You will work within an Agile delivery model alongside business analysts, QA, platform ... Code reviews and quality control checks should be undertaken as part of every update set, project ...

Dynamic Manufacturing

Mechanical Engineer

Hillside, IL · On-site

$100K - $140K/yr

Control and testing for hydraulic and pneumatic systems * Motion control projects * Pneumatic ... Preventative and/or Predictive maintenance documents * Advise on the status of equipment to ...

HUB International Limited

ServiceNow Developer

Chicago, IL · On-site

$55.75 - $76.50/hr

You will work within an Agile delivery model alongside business analysts, QA, platform ... Code reviews and quality control checks should be undertaken as part of every update set, project ...

Jorie AI

Software Engineer

Oak Brook, IL · Remote

Experience applying AI/ML tools such as OCR, NLP, or predictive modeling to automation use cases ... Proficiency with version control tools (e.g., Git). * Experience developing APIs or integrating ...

Ankura

Senior Director, eDiscovery

Chicago, IL · Hybrid

... review, predictive coding model training and validation, quality control protocols, and defensible methodology documentation in support of complex litigation and regulatory matters. Production ...

Jorie AI

Software Engineer

Oak Brook, IL · On-site

$90K - $120K/yr

Experience applying AI/ML tools such as OCR, NLP, or predictive modeling to automation use cases ... Proficiency with version control tools (e.g., Git). * Experience developing APIs or integrating ...

Ankura

Senior Director, eDiscovery

Chicago, IL · Hybrid

... review, predictive coding model training and validation, quality control protocols, and defensible methodology documentation in support of complex litigation and regulatory matters. Production ...

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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 (MPC) 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 (MPC) 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 Illinois? For Model Predictive Control jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Model Predictive Control jobs in Illinois look for? The top searched job categories for Model Predictive Control jobs in Illinois are:
What cities in Illinois are hiring for Model Predictive Control jobs? Cities in Illinois with the most Model Predictive Control job openings:
Model Predictive Control jobs near you
Data Scientist

Data Scientist

NinjaHoldings

Chicago, IL • On-site, Remote

$90K - $130K/yr

Full-time

Re-posted 7 days ago

Job description

NinjaHoldings was founded in 2017 by a team seeking to revolutionize the way everyday Americans interact with financial services. Through our CreditNinja and NinjaCard brands, we empower people overlooked by traditional financial institutions to take control of their finances via a full suite of digital banking and lending products, providing incentives and rewards along the way as we guide them on a path to financial improvement. Through our EDGE brand, we help companies better understand their customers by offering a package of bespoke underwriting, fraud detection, and analytics services. With offices in Chicago, Miami, and around the world through the power of remote work, we are a lean and innovative team always seeking like-minded talent to join us in our fight to disrupt consumer finance.

Key Responsibilities:

  • Build predictive models to optimize lending decisions by using advanced statistical modeling and simulation techniques
  • Use advanced data analytics to understand consumer risk behavior trends, their impact on the portfolio, and resulting business opportunities
  • Support the implementation of models by working closely with the software engineering team and performing post release checks and analysis
  • Assist with development of technical tools and platforms to standardize and streamline model development and monitoring processes
  • Establish key performance metrics and develop automated reporting dashboards using SQL and Python
  • Design A/B testing for models and underwriting strategies, evaluate impact, and provide recommendations
  • Work with cross-functional teams to explore new ways of finding insights from data and provide recommendations
  • Communicate concise and actionable business strategies to senior management

Ideal Candidate Will Have:

  • Bachelor's degree required
  • 2+ years of professional experience with data analytics and statistical modeling
  • Experience with relational databases and SQL
  • Programming experience with Python
  • Strong quantitative and problem-solving skills with key attention to detail
  • Experience supporting and working with cross-functional teams in a dynamic environment

Additional Pluses:

  • Advanced degree in a quantitative discipline (e.g., math, statistics, analytics, quantitative finance, engineering, or other quantitative fields)
  • Experience working with specialty finance or FinTech
  • Marketing analytical experience

Benefits:

  • Competitive salary and benefits package
  • Flexible, remote work
  • Fun, fast-paced work environment
  • Dynamic start-up culture
  • Ability to make an immediate impact in a growth stage company
  • Convenient downtown Chicago office located in the heart of the city
  • Equal opportunity employer

Applicants must be legally authorized to work in the U.S. without the need for current or future visa sponsorship.

IMPORTANT NOTICE:
Please carefully review communications to ensure that they are from the official Breezy applicant tracking platform (@breezy-mail.com) or an official NinjaHoldings brand email: @ninjaholdings.com, @creditninja.com, @ninjacard.com, or @edgescore.com. If you have been contacted regarding a job opening at NinjaHoldings from any other email address, including similar email variations, this is NOT a trusted source. We recommend that you refrain from responding to suspicious emails and file a complaint with the FBI's Internet Crime Complaint Center (IC3) at https://www.ic3.gov. For questions or to confirm the authenticity of a communication, please email hr @ninjaholdings.com.

Employment Type: FULL_TIME

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