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Artificial Intelligence Machine Learning Engineer Jobs in Michigan

AI and Machine Learning Engineer

Detroit, MI · On-site

$104.80K - $125.80K/yr

Machine Learning And Artificial Intelligence Developer You will be responsible for Machine Learning and Artificial Intelligence application development through its lifecycle, from concept and design ...

The Machine Learning Engineer will be an essential member of the Research and Development Team, where we engineer large tailor-made systems to solve complex data-related problems from many domains.

... Intelligence & Expert Systems - Experience developing or integrating AI/ML models and rule-based ... Machine Learning model fine-tuning. Familiarity with data engineering concepts and practices.

Machine Learning Engineer Develop and deploy machine learning models that process and analyze IoT (Internet of Things) signal data. Work with large-scale sensor data from connected devices to build ...

Machine Learning Engineer Location: Warren, MI / Mountain View, CA Duration: Fulltime Must Have Technical/Functional Skills: • Assist in fine-tuning VLA (Vision-Language Alignment) models for ...

... programming Key Responsibilities: 1) Understand business requirements and develop AI algorithms ... Artificial Intelligence & Expert Systems, Machine Learning, Data Science, Data Modeling, Software ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... We use artificial intelligence (AI) tools to assist in the screening, assessment, and selection of ...

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III you will be a ... We use artificial intelligence (AI) tools to assist in the screening, assessment, and selection of ...

Comscore, Total Visits, March 2025) Day to Day As a Machine Learning Engineer III, you will be a ... We use artificial intelligence (AI) tools to assist in the screening, assessment, and selection of ...

Machine Learning Engineer

Dearborn, MI · Remote

$51.25 - $68.50/hr

We are seeking an experienced Machine Learning Engineer to design, implement, and maintain robust analytics pipeline solutions. These solutions will support the analysis, modeling, and prediction of ...

Machine Learning Engineer

Dearborn, MI · On-site

$51.25 - $68/hr

Skills Required: • GCP, Big Data, Artificial Intelligence & Expert Systems, API • GCP - Mid Level • Big Data - Entry level • Artificial Intelligence & Expert Systems - Entry Level • API

... Artificial Intelligence, Machine Learning, or a related field. Proven experience in machine learning, deep learning, and AI. Excellent understanding of Python programming language, CUDA, and GPU ...

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Artificial Intelligence Machine Learning Engineer information

See Michigan salary details

$27.5K

$112.2K

$168.7K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for artificial intelligence machine learning engineer in Michigan is $112,234.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $135,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Machine Learning Engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What are some common challenges faced by Artificial Intelligence Machine Learning Engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is an Artificial Intelligence Machine Learning Engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

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

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Michigan? For Artificial Intelligence Machine Learning Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Michigan look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Michigan are:
What cities in Michigan are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities in Michigan with the most Artificial Intelligence Machine Learning Engineer job openings:
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Michigan as of May 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $112,234 per year, or $54 per hour.
AI and Machine Learning Engineer

AI and Machine Learning Engineer

SynergisticIT

Detroit, MI • On-site

$104.80K - $125.80K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Machine Learning And Artificial Intelligence Developer

You will be responsible for Machine Learning and Artificial Intelligence application development through its lifecycle, from concept and design to coding, testing, and maintenance.

You will also play a leading role, as part of a multidisciplinary team, to design and deliver enterprise AI and Client solutions to clients using our proprietary AI Machine.

We develop real-time prediction (regression and classification) and clustering systems. Depending on the type of applications, the AI and Client models operate on daily, hourly, down to 1 minute and millisecond streaming data.

Primary Responsibilities

As an AI team member you are expected to fulfill the following range of responsibilities, depending on the project:

  • Develop, debug and maintain Client and AI software applications written in Python ecosystem, SciKit-Learn, TensorFlow, Keras, PyTorch.
  • Design Client and Deep AI Models for different types of data (time-series, sales, business data, images, etc.) and different output types (Classification, Regression, Clustering).
  • Create stream learning models for forecasting, prediction, classification, anomaly detection, etc.
  • Investigate the behaviour of input and output data numerically.
  • Investigate and optimize models performance.
  • Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
  • Work within a multidisciplinary team to understand clients business, data, and requirements and develop the appropriate AI or Client solution within our proprietary AI Machine.

Required Candidate Profile

Skills Required:

  • High fluency in English is a must since you will communicate and work with team members and clients in English.
  • Deep understanding of Client algorithms like regression, classification and clustering.
  • Deep understanding of model determination and evaluation.
  • Strong problem-solving mindset and ability to develop creative solutions for difficult problems often requiring detailed investigation of the code and data.
  • Interest in learning and coding within an advanced distributed micro-system architecture.

Education Requirement: Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.

Benefits of working with our clients:

  • E-Verified.
  • Long Term Positions
  • On Job Technical Support.
  • Candidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry.