1

Modelling Jobs in Michigan (NOW HIRING)

Sr. Data Engineer

East Lansing, MI ยท On-site

$110K - $132K/yr

Job Title: Sr. Data Engineer - MS Fabric, ETL/ELT, Data Modelling, and Cloud platforms Location: Lansing, MI (Onsite-Hybrid) Duration: Long term contract Mode of Interview: In-Person interview Only ...

Sr. Data Engineer

East Lansing, MI

$110K - $132K/yr

\n \n \n Job Title: Sr. Data Engineer \- MS Fabric, ETL\/ELT, Data Modelling, and Cloud platforms Location: Lansing, MI (Onsite\-Hybrid) Duration: Long term contract Mode of Interview: In\-Person ...

Experience with business and technical requirements analysis, business process modelling/mapping, and data modelling. Strong experience with incident management, leading both on and off-hours ad hoc ...

Experience with business and technical requirements analysis, business process modelling/mapping, and data modelling. Strong experience with incident management, leading both on and off-hours ad hoc ...

One plus (1+) year experience working with cloud Big Data Stack to orchestrate data gathering, cleansing, preparation and modelling preferred. Advanced SQL skills working with RDBMSs such as SQL ...

One plus (1+) year experience working with cloud Big Data Stack to orchestrate data gathering, cleansing, preparation and modelling preferred. Advanced SQL skills working with RDBMSs such as SQL ...

Good understanding of SRAM architecture, Critical Path Modelling, Full Cut Analysis and Monte Carlo Simulations. * Exposure to full embedded memory design flow: Architecture, circuit design, physical ...

Apply Early

next page

Showing results 1-20

Modelling information

See Michigan salary details

$42

$64

$82

How much do modelling jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for modelling in Michigan is $64.23, according to ZipRecruiter salary data. Most workers in this role earn between $58.65 and $73.56 per hour, depending on experience, location, and employer.

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

To thrive as a Model, you need physical fitness, a strong portfolio, and an understanding of the fashion or commercial industry, often supported by agency representation or professional training. Familiarity with photo shoot protocols, posing techniques, and sometimes digital tools for virtual castings or portfolio management is important. Confidence, adaptability, and strong interpersonal skills help models build relationships and respond professionally to direction. These skills and qualities are crucial for consistently delivering the desired image, maintaining professionalism, and succeeding in a competitive industry.

How to be a face model?

To become a face model, you should maintain clear, healthy skin and a versatile look that suits various brands. Building a professional portfolio with high-quality photos, networking with agencies, and attending castings or open calls are essential steps in establishing a modeling career focused on facial features.

What are some of the common challenges faced by professional models, and how can they prepare for them?

Professional models often encounter challenges such as maintaining a healthy work-life balance, dealing with irregular schedules, and adapting to varying client expectations. Additionally, models may work in fast-paced environments where adaptability and resilience are key. To prepare, it's helpful to develop strong time management skills, maintain a supportive network, and stay proactive in personal health and self-care. Building good relationships with agencies and consistently updating one's portfolio also contribute to ongoing career success.

What is the difference between Modelling vs Data Analysis?

AspectModellingData Analysis
Required credentialsStatistics, mathematics, or related degrees; often certifications in modelling techniquesStatistics, data science, or related degrees; certifications in data analysis tools
Work environmentFinancial, engineering, or scientific sectors; focus on creating predictive modelsBusiness, marketing, or research sectors; focus on interpreting data sets
Employer usageFinancial institutions, engineering firms, scientific researchCorporations, marketing agencies, research organizations
Common search intentUnderstanding predictive modelling techniques and careersInterpreting data insights and reporting

Modelling involves creating mathematical or statistical models to predict future outcomes, often requiring advanced quantitative skills. Data analysis focuses on examining data sets to extract meaningful insights, emphasizing interpretation and reporting. While both roles require analytical skills, modelling is more predictive and technical, whereas data analysis is more descriptive and interpretive.

Is 25 too late to model?

Modeling is a career that can be pursued at any age, including at 25. Success often depends on factors such as look, confidence, and professionalism, rather than age alone. Many models start in their mid-20s or later and build successful careers with the right portfolio and networking.

How can you get into modeling?

To get into modeling, individuals typically build a portfolio of professional photos, gain experience through local or online agencies, and attend open casting calls or auditions. Having a good understanding of industry standards, maintaining a healthy appearance, and developing relevant skills like posing and runway walking can improve chances of success.

How much money do models make?

Modeling salaries vary widely based on experience, type of modeling, and market demand. Top fashion models can earn millions annually, while beginner or freelance models may earn a few hundred dollars per day or per assignment. Income often depends on factors such as portfolio quality, agency representation, and the number of bookings.

What is modelling?

Modelling is a profession where individuals, known as models, pose or display products, clothing, or accessories for advertising, promotional, or artistic purposes. Models work in a variety of settings, including fashion shows, print advertisements, commercials, and digital media. The field includes different types of modelling such as fashion, commercial, fitness, and runway modelling, each with its own requirements and expectations. Models collaborate with photographers, designers, and brands to help visually communicate ideas or sell products. Success in modelling often requires a combination of physical attributes, professionalism, and the ability to express emotions or concepts through poses and expressions.
What cities in Michigan are hiring for Modelling jobs? Cities in Michigan with the most Modelling job openings:
SystemC Modelling Engineer

SystemC Modelling Engineer

Pi Square Technologies LLC

Farmington Hills, MI โ€ข On-site

$98K - $134K/yr

Full-time

Posted 2 days ago


Job description

SystemC Modelling Engineer
Description:
  • Will be responsible for developing and maintaining high-fidelity system-level models using SystemC for hardware/software co-design and verification.
  • This role is crucial for enabling early performance analysis, architecture exploration, and functional validation of complex embedded systems.
  • The engineer will work closely with architecture, design, and verification teams to ensure the accuracy and efficiency of the SystemC models.
  • Projects will involve modeling various components of a platform, including processors, memory subsystems, and peripherals.
  • The candidate will utilize SystemC and related simulation environments.

Key Roles & Responsibilities:
  • Develop and maintain accurate and efficient SystemC models of platform components, including processors, memory controllers, and peripherals.
  • Implement TLM-based interfaces for communication between SystemC models and other simulation environments.
  • Validate the accuracy of SystemC models through comparison with RTL simulations and hardware prototypes, achieving a model fidelity target of X% (define target).
  • Collaborate with architecture and design teams to define modeling requirements and ensure models accurately reflect system specifications.
  • Contribute to the development of SystemC modeling guidelines and best practices within the organization.
  • Create and maintain documentation for SystemC models, including model descriptions, usage examples, and validation reports.
  • Debug and resolve issues identified during SystemC simulation, improving model performance and stability, reducing simulation time by X%.
  • Participate in code reviews and provide constructive feedback to other engineers.

Required Skills:
  • SystemC & TLM (Transaction Level Modeling)
  • C++ (Proficient level, including object-oriented design principles)
  • Hardware Description Languages (HDLs): VHDL or Verilog (Understanding and ability to interface with)
  • Debugging Tools (e.g., GDB, DVE)
  • Scripting Languages (Python, Perl, or similar)
  • Version Control Systems (Git)
  • Embedded Systems Architecture (Understanding of processor architectures, memory hierarchies, and bus protocols)
  • Communication (Excellent written and verbal communication skills)
  • Problem-Solving (Strong analytical and problem-solving abilities)
  • Team Collaboration (Ability to work effectively in a team environment)
  • Defining transaction level models of non-memory mapped interfaces (I2C, SPI, USB, CAN, Ethernet etc.)
  • Porting the embedded operating system (Linux, VxWorks, Android ) on the virtual prototype, developing the device drivers etc.
  • Verification of models at IP & SoC level.
  • Develop regress able self-checking test suites using C/ARM assembly.
  • Develop System Level Flows and Methodologies using virtual prototypes

Desired Skills:
  • Experience with Board bring-up, platform initialization, board support package development, peripherals such as PCIe, I2C, SPI, USB, UART , OS primitives, memory management, scheduling, interrupts, and multi-threading.
  • Good experience in system level debugging with comprehensive understanding of managing and prioritizing system level issues.
  • Extensive background in firmware development or embedded software development within a multicore environment or hardware context.