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Patterned Learning Ai Jobs in Redford, MI (NOW HIRING)

Lead Machine Learning Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

Serve as a senior technical resource for Machine Learning, AI, and Generative AI initiatives ... Build reusable frameworks, APIs, deployment patterns, and automation capabilities. * Partner with ...

Define scalable, secure, and maintainable AI platform patterns. AI Application Development ... Applied machine learning experience, including: * Embeddings * Classification * Clustering

AI / Machine Learning Development * Design, develop, and train machine learning and deep learning ... Architect orchestration patterns for planning, task decomposition, memory, context management, and ...

AI Engineer

Detroit, MI · On-site

$50K - $112K/yr

... learning libraries like Scikit-Learn for data analysis - Engaging in complex data analysis and pattern recognition - Implementing AI solutions using open-source software - Applying natural language ...

Senior AI/ML Engineer

Dearborn Heights, MI · On-site

$96K - $132K/yr

Artificial Intelligence & Expert Systems, Machine Learning, Data Science, Data Modeling, Software ... Strong technical expertise in cloud services (GCP/Vertex AI) and data integration patterns * Strong ...

... patterns/ recommendations from raw data, leveraging data science methodologies including Machine ... Agentic AI Orchestrator: A deployed multi-agent system that autonomously monitors the middleware ...

Artificial Intelligence & Machine Learning Worker Type Reference: Regular - Permanent Pay Rate Type ... Define architectural patterns for: * Batch vs real-time inference * Feature engineering pipelines

Design and implement validation frameworks for deep learning models (perception, NLP, generative AI ... patterns, and quality trends. * Work in cross-functional Agile teams spanning AI/ML, embedded ...

... conceptual patterns into validated, repeatable implementation blueprints. You are a hybrid ... Learning and development opportunities * Discount programs with various manufacturers and retailers

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Patterned Learning Ai information

See Redford, MI salary details

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How much do patterned learning ai jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for patterned learning ai in Redford, MI is $37.54, according to ZipRecruiter salary data. Most workers in this role earn between $27.26 and $48.80 per hour, depending on experience, location, and employer.

What is patterned learning AI?

Patterned Learning AI refers to artificial intelligence systems designed to recognize, learn from, and replicate patterns in data. These systems use algorithms to identify trends, correlations, and structures within large datasets, enabling them to make predictions or automate decision-making processes. Patterned Learning AI is commonly used in fields like image recognition, natural language processing, and predictive analytics. Its applications help businesses and researchers uncover hidden insights, streamline operations, and improve accuracy in various tasks.

What are some typical challenges faced by patterned learning AI professionals in implementing AI-driven solutions within organizations?

Patterned Learning AI professionals often encounter challenges such as integrating AI models with existing legacy systems, ensuring high-quality and representative training data, and aligning AI solutions with specific business objectives. Collaboration across multidisciplinary teams—including data scientists, software engineers, and business stakeholders—is essential for successful deployment. Additionally, professionals must stay updated on evolving AI technologies and best practices to maintain model accuracy and address ethical considerations.

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 a strong background in mathematics, statistics, programming (especially Python), and a degree in computer science or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn, as well as familiarity with cloud computing platforms and data management tools, is essential. Excellent problem-solving skills, creativity, and clear communication are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies are vital for developing reliable AI systems that solve real-world problems and drive innovation.

What is the difference between Patterned Learning Ai vs Data Scientist?

AspectPatterned Learning AiData Scientist
Required CredentialsTypically requires machine learning, AI, or computer science degrees; certifications in AI toolsRequires degrees in statistics, computer science, or related fields; often certifications in data analysis
Work EnvironmentTech companies, AI startups, research labs focusing on AI developmentBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed by AI-focused organizations developing intelligent systemsEmployed across industries for data analysis, predictive modeling, and decision support

Patterned Learning Ai primarily focuses on developing AI models and algorithms, often requiring specialized technical skills. Data Scientists analyze data to extract insights and inform business decisions. While both roles involve data and machine learning, Patterned Learning Ai is more centered on creating AI systems, whereas Data Scientists interpret data for strategic purposes.

What job categories do people searching Patterned Learning Ai jobs in Redford, MI look for?

The top searched job categories for Patterned Learning Ai jobs in Redford, MI are:

Infographic showing various Patterned Learning Ai job openings in Redford, MI as of June 2026, with employment types broken down into 26% Full Time, 70% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $78,085 per year, or $37.5 per hour.

Lead Machine Learning Engineer

Domino's Pizza

Ann Arbor, MI

$100K - $132K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Domino's rating

4.8

Company rating: 4.8 out of 10

Based on 1,940 frontline employees who took The Breakroom Quiz

20th of 24 rated food delivery companies


Job description

Company Description

Domino's Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we're a reshaped, reenergized brand of honesty, transparency and accountability - not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 85% of our sales in the U.S. are taken through digital channels. The brand continues to 'deliver the dream' to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That's just the tip of the iceberg...or as we might say, one "slice" of the pie! If this sounds like a brand you'd like to be a part of, consider joining our team!

Job Description

Leads the design, development, and deployment of machine learning models to address moderately complex to complex business challenges. Applies advanced technical expertise and organizational knowledge to independently solve problems that may lack well-defined solutions, ensuring alignment with strategic objectives and operational requirements.

Responsibilities

  • Serve as a senior technical resource for Machine Learning, AI, and Generative AI initiatives.
  • Provide technical leadership and mentorship to engineers and data scientists.
  • Translate business requirements into scalable, maintainable technical solutions.
  • Promote engineering best practices across software development, MLOps, and cloud-native platforms.
  • Collaborate with cross-functional teams to deliver business value through AI and data-driven solutions.
  • Contribute to the design and evolution of scalable ML/AI architectures and operational processes.
  • Evaluate emerging technologies and recommend opportunities for adoption when appropriate.

Job Tasks

  • Conduct code reviews, design discussions, and technical troubleshooting sessions.
  • Design, develop, deploy, and support production ML and AI solutions using Azure, Databricks, and containerized services.
  • Build reusable frameworks, APIs, deployment patterns, and automation capabilities.
  • Partner with architects, engineers, and platform teams to deliver secure, scalable, and maintainable solutions.
  • Develop and operationalize machine learning and Generative AI solutions that support business objectives.
  • Integrate AI services, APIs, and enterprise data sources into production applications and workflows.
  • Contribute to model deployment, monitoring, and lifecycle management activities.
  • Participate in Agile ceremonies, technical planning, and solution design reviews.
  • Contribute to shared code repositories through peer reviews, testing, and continuous integration practices.
  • Support production deployments, incident response, troubleshooting, and root cause analysis efforts.
Qualifications
  • 5 to 8 years of professional experience in machine learning engineering or related fields demonstrating mastery of advanced technical skills and independent project leadership.
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical discipline; advanced degrees preferred.

Skills

  • Advanced proficiency in machine learning algorithms, model development, and evaluation techniques.
  • Strong programming skills in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
  • Ability to independently solve complex problems with limited guidance, leveraging deep organizational and functional knowledge.
  • Effective communication skills, with the ability to articulate technical concepts and collaborate across teams.
  • Experience designing scalable machine learning systems and integrating them into production workflows.

Software Application

  • Microsoft Azure (Azure Container Apps, Azure AI Services, Azure Storage, Azure Key Vault, Azure Monitor, Event Hubs, and related cloud services)
  • Azure Machine Learning for model development, deployment, monitoring, and lifecycle management
  • Databricks for data engineering, machine learning, and large-scale analytics
  • GitHub (GitHub Enterprise, Actions, and repository management) for source control, CI/CD, and DevOps automation
  • Python and associated ML libraries (TensorFlow, PyTorch, scikit-learn, Pandas, NumPy)
  • Containerization and orchestration technologies (Docker, Kubernetes, Azure Container Apps)
  • REST APIs and integration frameworks for connecting AI services, enterprise applications, and data platforms
Additional Information

Location: Must reside in the Ann Arbor area or be willing to relocate 

Benefits:
    Paid Holidays and Vacation 
    Medical, Dental & Vision benefits that start on the first day of employment
    No-cost mental health support for employee and dependents
    Childcare tuition discounts
    No-cost fitness, nutrition, and wellness programs 
    Fertility benefits
    Adoption assistance
    401k matching contributions 
    15% off the purchase price of stock 
    Company bonus 

All your information will be kept confidential according to EEO guidelines.


What Domino's employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Domino's logo

About Domino's

Sourced by ZipRecruiter

Since 1960, we've grown from just one store to become the #1 pizza company in the world. To get there and continue to go above and beyond, it takes persistent passion, incredible vision, and bold thinking. It takes every one of our employees feeling like they have pizza sauce running through their veins. What's life like at Domino's Whatever your role at Domino’s, you’ll find life here is exciting, enormously fun, and always asks you to think on your feet. If you bring your passion, drive, and a purpose to perform, there are real growth opportunities across the brand. Many people find that what starts as a day job becomes a fulfilling career, surrounded by amazing people who make sure each new day tops the last. That’s what we mean by the power of possible. We are made better together In a Domino’s corporate job, our leaders work hard to create a level playing field where corporate team members can succeed, innovate, and above all, feel like they belong. See how different backgrounds make us better, and how your unique talents could power what’s possible in a Domino’s corporate career.

Industry

Food and beverage stores, real estate and food services and drinking places

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US