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Machine Learning Engineer Jobs in Grand Blanc, MI

Oerlikon

Technician 1 (3rd Shift)

Lake Orion, MI · On-site

$15.25 - $20/hr

In this role, you will be responsible for the set up and monitoring of the Coating Machines. The ... Tuition reimbursement and internal education resources to satisfy your love of learning so you can ...

Bespoke Labs

Data Engineer

Flint, MI · On-site

$111K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Grand Blanc, MI

Machine Learning Engineer information

See Grand Blanc, MI salary details

$26.9K

$109.9K

$165.1K

How much do machine learning engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for machine learning engineer in Grand Blanc, MI is $109,898.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,600.00 and $132,300.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What cities near Grand Blanc, MI are hiring for Machine Learning Engineer jobs? Cities near Grand Blanc, MI with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Grand Blanc, MI as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 100% In-person job distribution, with an average salary of $109,898 per year, or $52.8 per hour.

Computer Aided Design and Drafting (CADD) Instructor (part-time)

Mott Community College

Flint, MI • On-site

Full-time, Part-time

Re-posted 5 days ago

Job description

Position Information
Posting Number 49-2011 Position Title Computer Aided Design and Drafting (CADD) Instructor (part-time) Employee Group PT Faculty Starting Salary $1,124 per contact hour Compensation Details
To view the benefits summary, go to:
Part Time Faculty Benefits
Position Summary Information
Position Summary
Purpose, Scope & Dimension of Job: Faculty facilitate student learning and initiate and participate in efforts to consistently improve the level of student success. As learning facilitators, faculty consistently assess learning outcomes and their own teaching effectiveness (pedagogy). As professionals, faculty adhere to the ethical standards of their profession as outlined, for example, by the NEA and the State of Michigan. Where applicable, faculty maintain licensure and certifications.
Specific Teaching Assignment:
Faculty member will be responsible for teaching classes in Computer Aided Design and Drafting
Minimum Requirements
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
1. Bachelor's Degree or higher in Computer Aided Design, Applied Science, Industrial/Technical, Mechanical Engineering or related degree with 30 credit hours in Computer Aided Design & Drafting specialty courses from an accredited institution.
2. Two (2) years work experience in the field of design and/or engineering, directly involved with the application of CAD tools to create products, structures, machines, or tooling.
3. Professional experience with CATIA.
4. Understanding of and commitment to community college teaching, mission and philosophy.
5. Innovative, flexible and positive teaching style and understanding the needs of students from diverse backgrounds.
6. Language Skills: Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public.
7. Mathematical Skills: Ability to apply concepts such as fractions percentages, ratios, and proportions to practical situations. Ability to work with mathematical concepts such as probability and statistical inference.
8. Reasoning Ability: Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram or schedule form.
9. Technology Skills: Ability to integrate computer applications into teaching.
10. Other Skills and Abilities: Ability to apply knowledge of current research and theory to instructional program; ability to plan and implement lessons based on division and college objectives and the needs and abilities of students to whom assigned. Ability to establish and maintain collegial relationships with students, peers, staff, and administrators; skill in oral and written communication.
 A foreign degree must be certified, at the candidate's expense, by a professional evaluation service.
Additional Desirable Qualifications
1. Professional experience with Software packages including Unigraphics, SolidWorks, and AutoCad.
2. Master's degree in related field.
3. Certification in CADD software packages.
4. College teaching experience.
5. Familiarity with the use of competency based modularized courseware, and instruction.
Physical Requirements/Working Conditions
1. The employee must be able to move about 2/3 of the time and be stationary about 1/3 of the time. S/he is required to be mobile around campus for participant involvement/activities.
2. S/he must be able to converse with individuals on a regular basis with the ability to read, analyze, and interpret their needs via phone conversations, face-to-face conversations, or written documentation.
3. The employee must be able to utilize all programs on a computer independently and efficiently (particularly the internet, Word, and the student database).
4. S/he must be able to present information in an instructional setting and respond to questions from groups.
5. The employee must be able to lift and move objects of 50 pounds.
6. If applicable, must be able to tolerate frequent exposure to a wide variety of chemicals which are common to the industry. Must be able to handle and mix chemicals properly and safely; and wear appropriate personal protective equipment.
Work Schedule
While part-time faculty are not required to hold regular office hours during the semesters they teach, they are required to make provisions for student consultations as may be necessary and reasonable.
Additional Information
Must be available to teach onsite; opportunities do not exist to teach online courses only.
If selected for an interview, candidates may need to provide a professional portfolio. Specific instructions will be shared prior to the interview.
Visa sponsorship is not available.
Selected candidates must submit to a drug test and criminal background check.
Additional Application Deadline Information
The College reserves the right to close the recruitment process once a sufficient applicant pool has been identified.
Application Deadline Continuously accepting applications Equal Opportunity Summary
As an equal opportunity institution, the College encourages diversity and provides equal opportunity in education, employment, all of its programs, and the use of its facilities. The College does not discriminate in educational or employment opportunities or practices on the basis of race, sex, color, religion, gender, national origin, veteran's status, age, disability unrelated to an individual's ability to perform adequately, sexual orientation, or any other characteristic protected by law. Title IX Coordinator Contact Information: 1401 E. Court St., Prahl College Center (PCC- 2030G), Flint, MI 48503, (810) 762-0024. Title II, ADA, Coordinator Contact Information: 1401 E. Court St., Curtice-Mott Complex (CM-1024), Flint, MI 48503, (810) 762-0373. Section 504 Coordinator Contact Information: 1401 E. Court St., Prahl College Center (PCC- 1130), Flint, MI 48503, (810) 762-0191.

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