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Machine Learning Engineer Jobs in Wyoming, MI (NOW HIRING)

Pwc

ERP AI Engineer - Manager

Grand Rapids, MI

$99K - $232K/yr

... Machine Learning. Enhancing your leadership style, you motivate, develop and inspire others to ... The Opportunity As part of the Data and Analytics Engineering team, you will serve as both a ...

BDO

Power BI Lead Developer

Grand Rapids, MI

Data Analytics, Business Intelligence, Machine Learning, Power BI, Azure, DAX, API, RLS, Row Level Security, Application Programming Interface, Data Analysis Expression, Power Automate, Python ...

Kaidi LLC

Manufacturing Engineer

Grand Haven, MI · On-site

$70K - $90K/yr

This will include determining the machines, equipment, tools, and sequence of operations necessary ... learning, and leadership in a dynamic manufacturing environmentCompetitive pay and benefits ...

Kaidi LLC

Manufacturing Engineer

Grand Haven, MI · On-site

$66K - $85K/yr

This will include determining the machines, equipment, tools, and sequence of operations necessary ... Opportunities for growth, learning, and leadership in a dynamic manufacturing environment

EmergencyMD

Manufacturing Engineer

Grand Haven, MI · On-site

$70 - $90/hr

This will include determining the machines, equipment, tools, and sequence of operations necessary ... Opportunities for growth, learning, and leadership in a dynamic manufacturing environment

New

Kaidi LLC

Manufacturing Engineer

Grand Haven, MI · On-site

$70K - $90K/yr

This will include determining the machines, equipment, tools, and sequence of operations necessary ... Opportunities for growth, learning, and leadership in a dynamic manufacturing environment

BDO USA

Power BI Lead Developer

Grand Rapids, MI · On-site

Data Analytics, Business Intelligence, Machine Learning, Power BI, Azure, DAX, API, RLS, Row Level Security, Application Programming Interface, Data Analysis Expression, Power Automate, Python ...

Actalent

Field Service Engineer

Grand Rapids, MI

$63K - $75K/yr

Field Service Engineer This Field Service Engineer focues on automotive custom machine ... Participate in a hands-on engineering role, learning and developing skills through observation and ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Wyoming, MI

Machine Learning Engineer information

See Wyoming, MI salary details

$28.6K

$116.8K

$175.5K

How much do machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning engineer in Wyoming, MI is $116,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,100.00 and $140,600.00 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 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 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 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 Wyoming, MI are hiring for Machine Learning Engineer jobs?

Cities near Wyoming, MI with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Wyoming, MI as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $116,795 per year, or $56.2 per hour.

Custom GPT Expert / AI Consultant (Remote, Contract) (Remote)

Augusto Digital

Grand Rapids, MI • Remote

Contractor

Re-posted 13 days ago

Job description

Are you an AI enthusiast with a knack for building proof-of-concept (PoC) and minimum viable product (MVP) solutions? We're looking for a ChatGPT Expert / AI Consultant to help clients define, prototype, and implement custom AI-driven solutions.
About the Role

As a ChatGPT Expert, you will work directly with clients to design, develop, and refine AI-powered PoCs and MVPs. Your expertise in custom GPT implementations, prompt engineering, API integrations, and workflow automation will play a key role in helping businesses validate AI use cases before full-scale development.

This is a remote contract position, ideal for a self-starter who enjoys rapid prototyping and working with emerging AI technologies.

Key Responsibilities

  • Consult with clients to understand business needs and define AI-powered PoC/MVP requirements.
  • Create Custom GPT's by working with clients' own data.
  • Design and develop lightweight AI prototypes and MVPs leveraging custom GPTs and OpenAI APIs.
  • Implement and fine-tune GPT models for specific industry use cases.
  • Optimize AI performance through prompt engineering, embeddings, and retrieval-augmented generation (RAG).
  • Integrate AI into client workflows using APIs, automation tools, and third-party systems.
  • Provide technical guidance on AI feasibility, limitations, and scalability for future development.
  • Stay ahead of AI trends to recommend best practices and innovative solutions.

Requirements

  • Proven experience working with ChatGPT, OpenAI APIs, or other LLMs in a consulting or development role.
  • Strong knowledge of prompt engineering, RAG, fine-tuning, and AI customization.
  • Experience with PoC and MVP development, including rapid prototyping methodologies.
  • Proficiency in API integration and automation tools (e.g., Zapier, LangChain, vector databases).
  • Ability to translate business goals into functional AI solutions.
  • Strong communication and problem-solving skills, especially in a remote consulting environment.

Preferred Qualifications

  • Background in AI, NLP, machine learning, or software development.
  • Experience working with AI-powered chatbots, automation platforms, or enterprise AI solutions.
  • Familiarity with ethical AI practices, compliance, and data security considerations.

Why Join Us:


Impactful Work: Contribute to projects that make a significant impact on healthcare and other industries.

Professional Growth: Opportunities for continuous learning and development in a dynamic and supportive environment.

Collaborative Culture: Work with a team of skilled professionals who are passionate about delivering value and driving growth.

Innovation: Be part of a company that values innovation and encourages new ideas and approaches.


How to Apply:


Interested candidates should submit their resume and a cover letter detailing their relevant experience and why they are a good fit for this position to [insert application email or link].


**Augusto Digital is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.**


Join us at Augusto Digital and help us turn data into actionable insights that drive growth and innovation!

Employment Type: CONTRACTOR

Apply