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

Judge Group, Inc.

Midlevel AI Developer

Ann Arbor, MI · On-site

$50 - $55/hr

... machine learning, generative AI, agent frameworks, and enterprise-grade software engineering ... g., design patterns, testing, CI/CD, security, and observability). Preferred qualifications:

OneStream

Associate AI Engineer

Birmingham, MI · On-site

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... patterns. * Implement robust software systems and functionalities using Python and SQL/NoSQL ...

OneStream

Associate AI Engineer

Birmingham, MI · On-site

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... patterns. * Implement robust software systems and functionalities using Python and SQL/NoSQL ...

OneStream

Associate AI Engineer

Birmingham, MI · On-site

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... patterns. * Implement robust software systems and functionalities using Python and SQL/NoSQL ...

OneStream

Associate AI Engineer

Birmingham, MI · On-site

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... patterns. * Implement robust software systems and functionalities using Python and SQL/NoSQL ...

OneStream

Associate AI Engineer

Birmingham, MI · On-site

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... patterns. * Implement robust software systems and functionalities using Python and SQL/NoSQL ...

OneStream

Associate AI Engineer

Birmingham, MI · On-site

Our AI solutions incorporate applications across the AI and machine learning spectrum, including ... patterns. * Implement robust software systems and functionalities using Python and SQL/NoSQL ...

Stefanini, Inc

AI Engineer

Dearborn, MI · On-site

$84 - $91/hr

... patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and ... Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning ...

Aquent

AI Software Developer

Ann Arbor, MI · On-site

$47.82 - $53.13/hr

This is your chance to build scalable AI solutions using modern machine learning, generative AI ... Strong understanding of software engineering fundamentals, including design patterns, testing, CI ...

OneStream Software

Lead AI Engineer

Birmingham, MI · On-site

$97K - $128K/yr

Must be a self-starter, continuously learning both best code practices and the latest applications ... Writes code using timeless software design patterns (dependency injection, volatility decomposition ...

OneStream

Lead AI Engineer

Birmingham, MI · On-site

$97K - $128K/yr

Must be a self-starter, continuously learning both best code practices and the latest applications ... Writes code using timeless software design patterns (dependency injection, volatility decomposition ...

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All JobsPatterned Learning Ai JobsPatterned Learning Ai Jobs in Redford, MI

Patterned Learning Ai information

See Redford, MI salary details

$24

$37

$64

How much do patterned learning ai jobs pay per hour?

As of Sep 5, 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:

Patterned Learning Ai jobs near you
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.

Senior AI Platform Engineer

Strategic Staffing Solutions

Detroit, MI • On-site

$103K - $142K/yr

Full-time

Posted 11 days ago

Key responsibilities

  • Partner with data scientists, analytics professionals, and business stakeholders to productionize AI, ML, and Generative AI solutions.

  • Develop production-quality Python applications, APIs, services, and integration components, and design integrations between AI solutions and enterprise systems.

  • Build and maintain data ingestion, ETL/ELT pipelines, and support deployment of AI and analytics applications within Microsoft Azure.

Job description

Job Description STRATEGIC STAFFING SOLUTIONS (S3) HAS AN OPENING. Senior AI Platform Engineer Detroit, MI (Hybrid/Onsite Tues-Thurs) W2 contract role 12 Months then eligible for Contract renewal Role Overview We are seeking a Senior AI Platform Engineer to join our Advanced Analytics team and help transform analytical, machine learning, and Generative AI solutions into secure, scalable, production-ready applications. Key Responsibilities Partner with Data Scientists, Analytics professionals, and business stakeholders to productionize AI, ML, and Generative AI solutions.

Translate analytical and AI prototypes into scalable, maintainable software applications. Develop production-quality Python applications, APIs, services, and integration components. Design integrations between AI solutions and enterprise applications, data sources, APIs, and downstream systems.

Establish reusable engineering patterns for AI and analytics solutions. Build and maintain data ingestion and integration pipelines supporting analytics and AI applications. Develop and maintain ETL/ELT processes to acquire, transform, validate, and prepare data for analytical and AI use cases.

Integrate data from APIs, databases, files, enterprise applications, and other source systems. Design reliable, maintainable data workflows appropriate for application and analytical requirements. Design, deploy, and support AI and analytics applications within Microsoft Azure.

Work with Azure Functions, Azure App Service, Azure Container Apps, Azure Storage, Azure Key Vault, Azure AI services, Azure AI Foundry, Azure AI Search, Azure Monitor, and related Azure resources. Understand Azure identity, authentication, authorization, networking, security, and resource-management concepts. Work comfortably in Linux-based development and runtime environments.

Demonstrate practical Linux system administration knowledge, including processes, services, permissions, networking, package management, shell scripting, logs, and system troubleshooting. Troubleshoot application and environment issues across local Linux and cloud-hosted environments. Design and implement CI/CD pipelines using GitHub Actions to automate testing, building, and deployment.

Automate movement of applications from development through test and production environments. Apply MLOps practices across the lifecycle of machine learning and AI applications from development through production. Minimum Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.

5+ years of experience in software, data, AI/ML, cloud, or platform engineering. Strong Python and SQL skills, with experience building production-grade applications and data solutions. Hands-on experience designing and building data ingestion, ETL/ELT pipelines, and scalable data engineering solutions to support analytics, AI/ML, and enterprise applications.

Hands-on experience with DevOps and MLOps, including CI/CD, GitHub Actions, deployment automation, monitoring, and operational support. Experience developing and integrating REST APIs and enterprise applications. Hands-on experience deploying applications and services on Microsoft Azure.

Experience with Docker, Podman, or similar container technologies. Strong Linux administration, troubleshooting, and command-line experience. *Beware of scams.

S3 never asks for money during its onboarding process

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