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Entry Level Ai Engineer Jobs in Michigan (NOW HIRING)

Tech Consulting

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Machine Learning Engineer

Michiana, MI · On-site

$30 - $40/hr

Entry-Level AI / Machine Learning Engineer Full-Time Candidate must be open to relocate Job Summary We are looking for an enthusiastic and motivated Entry-Level AI/Machine Learning Engineer to join ...

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Entry Level Controls Engineer

Detroit, MI · On-site

$80K - $82K/yr

*Must be okay with travel Entry Level Position: College Graduate - 2 years experience This is a ... Architect custom solutions using the appropriate technologies from control databases to AI to User ...

Actalent

Industrial Engineer

Dearborn, MI

$35 - $41/hr

Skills industrial engineering, power bi, time studies, process engineering, tool development, data ... AI tools to accelerate work Experience Level Entry Level Job Type & Location This is a Contract ...

Acrisure

Software Engineer I

Grand Rapids, MI · On-site

Career framework alignment: Entry-level role on the Software Engineer ladder; this description is ... Use AI-assisted engineering workflows, including Claude Code or similar tools, to support ...

Pwc

AI Governance Sr Associate

Detroit, MI · On-site

$72K - $212K/yr

... Engineering, Finance, Mathematics/Statistics, Project/Technology Management - Applying experience ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Ai Engineer information

See Michigan salary details

$26.1K

$60.5K

$102.8K

How much do entry level ai engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for entry level ai engineer in Michigan is $60,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,900.00 and $68,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level AI engineer, and why are they important?

To thrive as an Entry Level AI Engineer, you need a solid background in computer science, mathematics (especially linear algebra and statistics), and programming languages like Python, often supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and sometimes entry-level certifications in AI or data science is valuable. Strong problem-solving abilities, eagerness to learn, and teamwork skills help you stand out in this collaborative and evolving field. These skills and qualities are crucial to effectively develop AI models, adapt to new technologies, and contribute meaningfully to innovative projects.

What types of projects do entry level AI engineers typically work on, and how do they contribute to larger team goals?

Entry-level AI engineers often start by assisting with data preprocessing, building and testing machine learning models, and supporting the deployment of AI solutions. They may also help maintain existing models, write scripts to automate workflows, and contribute to documentation. These tasks are crucial for larger team projects, as they ensure data quality and provide foundational components for more advanced AI systems. Collaboration with data scientists, software engineers, and product managers is common, offering valuable exposure to cross-functional teamwork and opportunities for skill development.

Is an entry level AI engineer an entry-level job?

An entry-level AI engineer position is typically considered an entry-level job, suitable for candidates with limited professional experience in AI, machine learning, or related fields. These roles often require foundational skills in programming, data analysis, and basic understanding of AI tools and frameworks. They are designed to provide on-the-job training and skill development for newcomers to the field.

Can you be an entry level AI engineer with no experience?

Entry level AI engineer positions often require some foundational knowledge of programming, machine learning concepts, and tools like Python or TensorFlow. While prior experience is not always mandatory, having relevant coursework, projects, or certifications can improve chances of securing such roles. Employers may also provide on-the-job training for candidates with strong problem-solving skills and a willingness to learn.

Is AI taking entry level ai engineer jobs?

Entry-level AI engineer jobs are growing as companies invest in artificial intelligence and machine learning technologies. However, competition remains high, and candidates with skills in programming, data analysis, and familiarity with tools like Python and TensorFlow have better prospects. Staying updated with industry trends and gaining relevant certifications can improve job opportunities in this field.

What does an entry level AI engineer do?

An Entry Level AI Engineer assists in designing, developing, and deploying artificial intelligence models and systems under the guidance of senior engineers. Their tasks often include collecting and preprocessing data, implementing machine learning algorithms, and testing models to ensure accuracy and efficiency. They also collaborate with software developers and data scientists to integrate AI solutions into products or services, all while continuing to learn and develop their technical skills on the job.
What are the most commonly searched types of Ai Engineer jobs in Michigan? The most popular types of Ai Engineer jobs in Michigan are:
What are popular job titles related to Entry Level Ai Engineer jobs in Michigan? For Entry Level Ai Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Engineer jobs in Michigan look for? The top searched job categories for Entry Level Ai Engineer jobs in Michigan are:
What cities in Michigan are hiring for Entry Level Ai Engineer jobs? Cities in Michigan with the most Entry Level Ai Engineer job openings:
Entry Level Ai Engineer jobs near you
Infographic showing various Entry Level Ai Engineer job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $60,456 per year, or $29.1 per hour.

Machine Learning Engineer

Tech Consulting

Michiana, MI • On-site

$30 - $40/hr

Full-time

Medical, Dental, PTO

Posted yesterday

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Job description

Entry-Level AI / Machine Learning Engineer

Full-Time

Candidate must be open to relocate


Job Summary

We are looking for an enthusiastic and motivated Entry-Level AI/Machine Learning Engineer to join our team. The ideal candidate has a strong foundation in Python, machine learning, data analysis, and AI concepts, with a willingness to learn and work on real-world projects.


Key Responsibilities

  • Develop, train, and evaluate machine learning models.
  • Clean, preprocess, and analyze structured and unstructured datasets.
  • Implement supervised and unsupervised machine learning algorithms.
  • Assist in developing AI solutions using Python and popular ML libraries.
  • Perform model testing, optimization, and performance evaluation.
  • Work with senior engineers and data scientists to solve technical problems.
  • Create data visualizations and reports to communicate model results.
  • Research emerging AI and machine learning techniques.
  • Document code, experiments, and project findings.
  • Assist with deploying machine learning models into production environments.


Required Skills

  • Basic knowledge of Python and programming fundamentals.
  • Understanding of machine learning concepts and algorithms.
  • Familiarity with NumPy, Pandas, Scikit-learn, and data visualization tools.
  • Basic understanding of statistics and probability.
  • Familiarity with SQL and databases.
  • Understanding of model evaluation metrics such as accuracy, precision, recall, and F1-score.
  • Knowledge of Git/GitHub.
  • Strong problem-solving and analytical skills.


Good to Have

  • Exposure to TensorFlow or PyTorch.
  • Basic knowledge of deep learning and neural networks.
  • Familiarity with NLP, computer vision, or generative AI.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Academic, personal, internship, or GitHub projects involving AI/ML.


Education

Bachelor's degree or equivalent coursework in Computer Science, Artificial Intelligence, Data Science, Mathematics, Engineering, or a related field.

Recent graduates and candidates with relevant projects are encouraged to apply.


Experience Level

1-4 years of experience.

Internship, academic, and personal AI/ML projects are considered relevant experience.


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