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

Compunnel

Machine Learning Engineer

Grand Rapids, MI · On-site

JOB SUMMARY We are looking for a Machine Learning engineer with Python, ML, Azure ML, A/B Testing, Databricks, and so forth to join a data science team. This specific team supports line of business ...

Bespoke Labs

Machine Learning Engineer

Allendale, MI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

HTC Global Services Inc

AI Engineer

Grand Rapids, MI · On-site

... years of software engineering and/or data science experience, including 3-5+ years in AI/ML ... Lead architecture for Generative AI, LLMs, and traditional machine learning models. Design scalable ...

Pwc

CTIO AI Engineering Manager

Grand Rapids, MI

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

NGA AI Engineer Manager

Grand Rapids, MI · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Gentex

Machine Vision Development Engineer I

Zeeland, MI · On-site

POSITION OVERVIEW The Machine Vision Development Engineer I contributes to the development of world ... Nimble learning - Actively learning through experimentation when tackling new problems, using both ...

Pwc

NGA AI Engineer Senior Manager

Grand Rapids, MI · On-site

$91K - $321K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

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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 Jul 25, 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 engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

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 engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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 July 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $116,795 per year, or $56.2 per hour.
Machine Learning Engineer

Machine Learning Engineer

Compunnel

Grand Rapids, MI • On-site

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

JOB SUMMARY
We are looking for a Machine Learning engineer with Python, ML, Azure ML, A/B Testing, Databricks, and so forth to join a data science team. This specific team supports line of business in supply chain and demand forecasting. The data they work with is to support models. We are seeking a Data Scientist to drive machine learning and optimization initiatives that improve supply chain performance. This role focuses on developing scalable data science solutions that enhance operational efficiency, inventory management, and end-to-end supply chain decision-making. You will work cross-functionally with teams across Merchandising, Supply Chain, Operations, and Customer Insights to identify high-impact opportunities and deliver data-driven solutions that improve the customer and operational journey. The Data Science team leads the strategy, development and integration of Machine Learning and Artificial Intelligence. Data Scientists on the team will drive customer loyalty, digital conversion, and system efficiencies by delivering innovative data driven solutions. Through these solutions, the data scientists drive material business value, mitigating business and operational risk, and significantly impacts the customer experience. This role works directly with product development, merchandising, marketing, operations, ITS, ecommerce, and vendor partners. The position will lead, consult or oversee multiple highly complex data science projects/programs/domains that have significant impacts and require in-depth technical knowledge across multiple specific architecture disciplines such as technology, solution, business, or information/data. ML/Optimization data science projects to improve supply chain operations.
Key Responsibilities
• Partner with business stakeholders across Merchandising, Supply Chain, Operations, and Customer Insights to identify opportunities and define data science use cases that improve operational performance
• Design and develop machine learning models, optimization algorithms, and statistical solutions to solve supply chain challenges
• Build production-ready prototypes and iteratively develop end-to-end data science pipelines
• Develop and deploy scalable solutions leveraging machine learning, artificial intelligence, and advanced analytics techniques
• Collaborate with Product and Technology teams to deploy models into production within an MLOps framework
• Follow SAFe Agile methodology to deliver incremental value and continuously improve models and solutions
• Translate complex data science outputs into actionable insights for business stakeholders
• Monitor model performance and continuously refine solutions based on business feedback and evolving data
• Creating of building pipelines and model parameters.
• Ability to communicate effectively across other teams.
• Prioritize data ingestion.
Required Qualifications
• Recent Retail client experience (Example: Kroger, former Meijer, 84.51, Walmart, Amazon, Costco, Sam's Club)
• Must have a recent Retail client experience
• Machine learning
• Python
• Azure ML
• A/B testing
• Databricks
• Supply chain
• Prior retail or grocery experience is a must
• 6+ years of Python, SQL, Databricks, Azure ML, and large-scale data engineering/model deployment experience.
• 6+ years of experience developing machine learning, optimization, and statistical solutions using Python, SQL, Databricks, and Azure ML on large-scale datasets.
• Strong understanding of retail supply chain operations.
• Experience applying predictive modeling and machine learning techniques to solve inventory, forecasting, and operational performance challenges.
• Ability to translate analytical findings into actionable business decisions and measurable operational outcomes.
• Solid experience working with large datasets and developing ML/AI systems such as: natural language processing, speech/text/image recognition, supervised and unsupervised learning models, forecasting and/or econometric time series models.
Preferred Qualifications
• Sql
• Advanced Degree (MA/MS, PhD) in Mathematics, Statistics, Economics, or related quantitative field
• 6+ years of relevant data science experience in an applied role - preferable w/in retail, logistics, supply chain or CPG.
• Advanced and hands on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK
• Experience with Azure Cloud technologies including Azure DevOps, Azure Synapse, MLOps, GitHub
Certifications
• Azure Data Science Associate
• Azure AI
• Safe Agile
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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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