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

Deloitte

Senior AI Engineer - SFL Scientific

Detroit, MI · On-site

$103K - $142K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Stellantis

Principal AI Engineer

Auburn Hills, MI · On-site

Bachelor's degree in AI, Machine Learning, Computer Science, Statistics, or a related field * A minimum of 8 years of professional experience in software engineering, AI, or machine learning ...

Stellantis

Principal AI Engineer

Auburn Hills, MI

Bachelor's degree in AI, Machine Learning, Computer Science, Statistics, or a related field * A minimum of 8 years of professional experience in software engineering, AI, or machine learning ...

Pwc

AI Engineer

Detroit, MI · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

EPSoft Technologies

AI engineer

Dearborn, MI · On-site

$89K - $122K/yr

Work closely with Tech Anchor, Product Manager and Product Owner to deliver machine learning use cases using Agile Methodology. * Work with other Software and ML Engineers to tackle challenging AI ...

Pwc

AI Solutions Engineering Delivery Lead

Detroit, MI · On-site

$101K - $133K/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 Warren, MI

Machine Learning Engineer information

See Warren, MI salary details

$29.6K

$120.9K

$181.7K

How much do machine learning engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning engineer in Warren, MI is $120,887.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,300.00 and $145,500.00 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 are the most commonly searched types of Machine Learning Engineer jobs in Warren, MI?

The most popular types of Machine Learning Engineer jobs in Warren, MI are:

What are popular job titles related to Machine Learning Engineer jobs in Warren, MI?

For Machine Learning Engineer jobs in Warren, MI, the most frequently searched job titles are:

What cities near Warren, MI are hiring for Machine Learning Engineer jobs?

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

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Warren, MI as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Contract, and 2% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $120,887 per year, or $58.1 per hour.

CDB AI & Analytics - Development - Sr. Developer - MDV115

First Soft Solutions

Detroit, MI • On-site

$54 - $71.25/hr

Contractor

Re-posted 19 days ago

Job description

Job Description: COVID-19 Vaccination Requirement: Please note that, where allowed by local law, Cognizant requires associates of all Cognizant entities, subsidiaries, and joint ventures, including non-integrated business, as well as contractors, to be fully vaccinated against COVID-19 if or when their role requires them to conduct business face-to-face. This includes any role that necessitates presence at a Cognizant or client site, in-person event or meeting, or business travel. In accordance with local law, vaccination will also be required when mandated by a client or the country government, regardless of work location. New hires will be asked to attest to their vaccination status and upload proof of vaccination as applicable after joining.
Job Title: CLOUD SOFTWARE ENGINEER
Job Summary: Cloud Software Engineer Position Overview At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.
Experience: 8 to 12 yrs
Required Technical Skills- Google Big Table
Domain Skills: Automotive Industry, Technology Data Management
Roles & Responsibilities: Global Data Insight & Analytics organization is looking for a Machine Learning Engineer focused on building and driving the strategy forward for our internal Data Science / AI/ML platform. This role will work in a small, cross-functional team. The position will collaborate directly and continuously with other engineers, business partners, product managers and designers, and will release early and often. The team you will be working on is focused on building Mach1ML platform - an AI/ML enablement platform to democratize Machine Learning across Ford enterprise (similar to Uber's Michelangelo, Facebook's FBLearner, etc). Position Responsibilities • Work closely with Tech Anchor, Product Manager and Product Owner to deliver Machine learning Platform and tools for the data scientists across the company. • Work with software and ML engineers to tackle challenging AIOps problems. • Work specifically on the model team to help build tools/ML Pipeline and systems using Python that make data scientists happier and more productive • Help innovate standardize machine learning development practices. • Experiment, innovate and share knowledge with the team. • Act as a consultant to the business vs. an order taker. • Lead by example in use of Paired Programming for cross training/upskilling, problem solving, and speed to delivery. • Leverage latest of Google Cloud and Kubernetes technologies Skills Required: • 2+ years of experience with Cloud Engineering / Services • 2+ years of work experience as a software engineer with exceptional software engineering knowledge.
Job Location Primary: USMIDEOC01-Detroit - MI USA, CLT Alternate Job Type 60CW00 Business Associate
Demand Requires Travel? N Certification(s) Required NA
Additional Sills: Skills:
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About First Soft Solutions

Sourced by ZipRecruiter

First Soft Solutions custom application Development and Maintenance Services are designed to enable you to lower the total cost of ownership and the required quality for your application. While all application Development Outsourcing is Technically custom, The difference is that packaged applications were designed with a general set of features to be used by a broad range of users. Custom application development is capable of producing practically any feature you may desire for your site. Time and money are virtually the only limiting factors. Our goal is to provide Clients with the Solution that fits their specific and unique needs while giving them the knowledge they need to operate and maintain the New Systems and Software. Our allegiance is to the best solution for our Clients. Our experience and knowledgeable consultants are ready to go above and beyond expectations to assist you in obtaining your goals. We can also provides expert project management throughout the entire project life cycle.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

East Brunswick, NJ, US

Year founded

2006

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