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Entry Level Machine Learning Engineer Jobs in Detroit, MI

Reply

AI/ML Engineer (AWS)

Detroit, MI

$120K - $155K/yr

As a Senior Developer, you will play a key role in building and evolving ML/AI applications and ... Create, evaluate, and deploy machine learning solutions, including applications powered by large ...

Reply

AI/ML Engineer (AWS)

Detroit, MI

$120K - $155K/yr

As a Senior Developer, you will play a key role in building and evolving ML/AI applications and ... Create, evaluate, and deploy machine learning solutions, including applications powered by large ...

THOMSON REUTERS

Lead Research Engineer

Ann Arbor, MI · On-site +1

$100.30K - $132.10K/yr

We hire engineers and specialists across a variety of AI research areas to drive the company ... Experienceintegrating Machine Learning solutionsinto production-grade softwarewith a sound ...

THOMSON REUTERS

Research Engineer

Ann Arbor, MI · Hybrid

Ability to understand, apply,integrateand deploy Machine Learning capabilities and techniques into other systems. * Familiarity with the Python data science stack through exposure to libraries such ...

Tech Tammina LLC

GCP Engineer

Dearborn, MI · On-site

Your focus will be on backend software engineering, specifically in developing machine learning and generative AI applications, as well as creating reusable AI/ML components. Responsibilities: * Work ...

THOMSON REUTERS

Senior Research Engineer

Ann Arbor, MI · Hybrid

$102.20K - $140.40K/yr

Experience integrating Machine Learning and Generative AI solutions into production-grade ... Hands-on experience in other programming language/scripting language and development stack (Java ...

Pwc

US Tech - AI Engineering Senior Associate

Detroit, MI · On-site

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Apex Systems

Data Analyst

Warren, MI · Hybrid

Apply foundational machine learning techniques such as regression, classification, and clustering to manufacturing-related datasets. * Partner with engineering and manufacturing stakeholders to ...

Epic

Software Engineer

Sterling Heights, MI · On-site

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

Detroit Tigers

Cloud Data Engineer

Detroit, MI · On-site +1

$113.40K - $136.10K/yr

... machine learning models. This position will report to the Manager, Baseball Systems Data. Key ... Collaborate with Tigers data engineers and data scientists to implement good data hygiene practices ...

Detroit Tigers

Cloud Data Engineer

Detroit, MI · On-site

$113.40K - $136.10K/yr

... machine learning models. This position will report to the Manager, Baseball Systems Data. Key ... Collaborate with Tigers data engineers and data scientists to implement good data hygiene practices ...

Tror AI for everyone

Java AI Engineer

Farmington Hills, MI · On-site

$51 - $69.75/hr

JOB Title: Java AI Engineer Location: Farmington Hills, MI (Hybrid) Hiring Type: Contract Note ... Machine learning frameworks, or AI cloud services is a plus but not required. Must Have Technical ...

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Entry Level Machine Learning Engineer information

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$29.7K

$68.7K

$116.8K

How much do entry level machine learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for entry level machine learning engineer in Detroit, MI is $68,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $77,700.00 per year, depending on experience, location, and employer.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.
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Entry Level Machine Learning Engineer jobs near you
AI/ML Engineer (AWS)

AI/ML Engineer (AWS)

Reply

Detroit, MI

$120K - $155K/yr

Full-time

Posted 8 days ago

Job description

Valorem Reply, part of the Reply Network, is a leader in Microsoft-based IT solutions. We support and advise our Giant Tech customers in all aspects of Microsoft, and other industry-leading technologies. From designing and developing custom solutions and low-code solutions, to implementing and managing them seamlessly, Valorem Reply helps customers unlock the potential of their IT infrastructure to enable their sales and partner initiatives. 

As a Senior Developer, you will play a key role in building and evolving ML/AI applications and services on AWS. You will work closely with product, architecture, and engineering teams to deliver reliable, high-quality solutions that meet business and customer needs. You should be comfortable contributing across the software development lifecycle, from design and implementation through deployment, support, and continuous improvement. 

Responsibilities
  • Build and deliver scalable systems that incorporate machine learning and Generative AI capabilities. 
  • Create, evaluate, and deploy machine learning solutions, including applications powered by large language models. 
  • Establish and maintain datasets, testing strategies, and validation approaches to ensure model accuracy and stability. 
  • Partner with product and engineering teams to translate business needs into practical, deployable AI solutions. 
  • Integrate machine learning components into existing platforms and services. 
  • Develop and manage automated pipelines that support continuous integration and delivery of machine learning solutions. 
  • Monitor performance in production environments and refine systems based on real-world usage. 
Minimum Requirements
  • Must be US Citizen or green card holder
  • Bachelor's degree in Computer Science, Engineering, or related field. 
  • 3 years experience delivering machine learning or AI-based solutions in production settings. 
  • 3 years experience programming in Python or a comparable language. 
  • 3 years experience working with large language models or Generative AI technologies.
  • 3 years experience building and deploying solutions in AWS environments.
  • 3 years experience establishing automated build, test, and release workflows for ML or data-driven applications. 
  • 3 years experience supporting deployed models, including monitoring performance and managing updates. 
Preferred Qualifications
  • Master's degree or higher in Computer Science, Engineering, or related field. 
  • Experience with retrieval-augmented generation (RAG), embeddings, or agent-based architectures. 
  • Experience designing distributed systems or working within cloud-based environments. 
  • Experience integrating AI capabilities into customer-facing or enterprise applications. 
  • Experience working in Agile development environments. 
  • AWS certification
About Reply
 
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
 
The base compensation range for this full-time position is between $120,000-$155,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also consider prior experience, relevant skills, education, training, certifications, and other job-related qualifications. If you have questions regarding compensation, the talent acquisition team can provide details during the interview process.
 
Reply is an equal opportunity employer. We are committed to providing equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If you need assistance or reasonable accommodation due to a disability during the application or recruiting process, email [email protected]. Visit our website at www.reply.com to learn more about our open roles
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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