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Machine Learning Engineer Apprenticeship Jobs in Michigan

Senior Machine Learning Engineer

Detroit, MI ยท On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting-edge AI solutions to combat ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Showing results 21-40

Machine Learning Engineer Apprenticeship information

What is a machine learning engineer apprenticeship?

A Machine Learning Engineer Apprenticeship is a structured training program that combines hands-on work experience with classroom or online learning in the field of machine learning. Apprentices work under the guidance of experienced professionals to develop skills in data analysis, building machine learning models, and deploying algorithms in real-world applications. This apprenticeship is ideal for individuals seeking to enter the field of artificial intelligence without prior extensive experience, as it provides practical training and mentorship. Typically, apprenticeships last from several months to a couple of years and may lead to full-time employment upon successful completion.

What types of projects can I expect to work on during a machine learning engineer apprenticeship?

As a Machine Learning Engineer Apprentice, you can expect to participate in hands-on projects that involve data preprocessing, building and evaluating machine learning models, and collaborating with cross-functional teams such as data scientists and software engineers. Common projects may include developing recommendation systems, automating data analysis tasks, or implementing natural language processing solutions. These experiences provide valuable exposure to real-world datasets and industry-standard tools, helping you build foundational skills for a long-term career in machine learning.

What are the key skills and qualifications needed to thrive as a machine learning engineer apprentice, and why are they important?

To thrive as a Machine Learning Engineer Apprentice, a solid understanding of mathematics, programming (especially Python), and foundational machine learning concepts is essential, often supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and the ability to collaborate and communicate complex ideas clearly are valuable soft skills. These abilities are crucial for efficiently developing, testing, and deploying machine learning models while contributing effectively to team projects.

What job categories do people searching Machine Learning Engineer Apprenticeship jobs in Michigan look for?

The top searched job categories for Machine Learning Engineer Apprenticeship jobs in Michigan are:

What cities in Michigan are hiring for Machine Learning Engineer Apprenticeship jobs?

Cities in Michigan with the most Machine Learning Engineer Apprenticeship job openings:

Infographic showing various Machine Learning Engineer Apprenticeship job openings in Michigan as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 84% In-person, and 16% Remote job distribution.

Machine Learning Engineering

Dearborn, MI โ€ข On-site

Saanvi Technologies
51 - 200 employees

Contractor

Re-posted 26 days ago


Job description

Machine Learning Engineer
 
What You’ll Do:
Collaborate with stakeholders to understand ML requirements and develop innovative solutions. 
Build and maintain scalable ML pipelines, infrastructure, and deployment platforms.
Automate model lifecycle processes with CI/CD/CT and MLOps principles.
Work on analytics pipelines supporting predictive modeling, data flows, and APIs.
Ensure data quality, integrity, and compliance across systems.
Skills & Experience:
3+ years developing ML models in production; strong Python programming.
2+ years hands-on with GCP, BigQuery, Cloud Storage, Cloud Run, and Kubernetes.
Experience with CI/CD tools like Tekton, version control (GitHub), and code quality/security tools.
Familiarity with Spark, Airflow, containerization, and cloud platforms (GCP, AWS, Azure).
Bachelor’s degree in Computer Science or related field (Master’s preferred).
Preferred Skills:
Automotive or analytics experience, ML libraries (TensorFlow, PyTorch, Scikit-learn), MLOps platforms.

Saanvi Technologies logo

About Saanvi Technologies

Sourced by ZipRecruiter

Saanvi Technologies is a staffing company that specializes in providing IT professionals to businesses. Our employees are experts in their field, and have the skills and experience necessary to help businesses grow and succeed. Saanvi Technologies is dedicated to helping businesses achieve their goals, and they have a proven track record of success. Our employees are qualified and reliable, and they always go above and beyond to meet the needs of their customers.

Company size

51 - 200 Employees

Headquarters location

Farmington, MI, US

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