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

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 ...

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 ...

Experience with machine learning, generative AI, and applied AI patterns such as retrieval, recommendation, forecasting, optimization, or intelligent assistants * Experience with secure development ...

Applied AI Engineer

Detroit, MI

$113K - $136K/yr

... learning, generative AI, and applied AI patterns such as retrieval, recommendation, forecasting, optimization, or intelligent assistantsExperience with secure development practices, data privacy ...

... 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

Experience with machine learning, generative AI, and applied AI patterns such as retrieval, recommendation, forecasting, optimization, or intelligent assistants * Experience with secure development ...

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 ...

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Patterned Learning Ai information

See Redford, MI salary details

$24

$37

$64

How much do patterned learning ai jobs pay per hour?

As of Aug 12, 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 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 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 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.

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Medical, Dental, Vision, Life, Retirement

Posted 5 days ago


Job description

Job#: 3043318
Job Description:
Role: AI Platform Engineer
Location: Hybrid - 4 days/week onsite | Must be willing to interview in person
Duration: Long-Term Contract
Description:
We are seeking a Senior AI Platform Engineer to design, build, and scale next-generation AI solutions for an Enterprise Data Platform on Google Cloud Platform (Google Cloud Platform). This is a highly technical, hands-on individual contributor role focused on developing production-grade multi-agent AI systems, AI-powered workflows, and developer-facing capabilities.
The ideal candidate will combine deep software engineering expertise with practical experience building and operating LLM-based applications in production environments. This role requires ownership of solution architecture, hands-on development, technical leadership, and cross-functional collaboration to deliver scalable, secure, and observable AI solutions.
Key Responsibilities
AI Solution Architecture
  • Design and implement multi-agent AI systems and agent orchestration frameworks.
  • Evaluate architectural trade-offs, including:
    • Single-agent vs. multi-agent architectures
    • Retrieval-Augmented Generation (RAG) vs. fine-tuning approaches
    • Agent workflow design and orchestration strategies
  • Contribute to Architecture Decision Records (ADRs) and technical design documentation.
  • Define scalable, secure, and maintainable AI platform patterns.

AI Application Development
  • Develop and deploy production-grade AI applications and agentic workflows.
  • Build solutions supporting:
    • Natural Language to SQL (NL-to-SQL)
    • Semantic search
    • Metadata enrichment
    • Intelligent automation workflows
  • Implement AI guardrails, observability, monitoring, and evaluation frameworks.
  • Leverage modern agent development tools and coding assistants.

Full-Stack Engineering
  • Develop backend services using:
    • Python
    • FastAPI
  • Build frontend experiences using:
    • Angular
    • React
  • Create chat interfaces, APIs, developer tooling, and user-facing AI experiences.
  • Own end-to-end feature delivery from design through production deployment.

Engineering Excellence
  • Write high-quality, maintainable, and testable code.
  • Lead technical reviews and establish engineering best practices.
  • Perform root-cause analysis and troubleshoot complex AI agent failures.
  • Serve as the team's technical expert for advanced AI and platform engineering challenges.
  • Drive continuous improvements in reliability, scalability, and performance.

Collaboration & Leadership
  • Partner closely with Product Management, Data Engineering, and Platform Engineering teams.
  • Participate in sprint planning, backlog refinement, and technical roadmap discussions.
  • Mentor team members and promote knowledge sharing.
  • Support onboarding and technical development of new engineers.

Required Qualifications
Experience
  • 5+ years of professional software engineering experience.
  • Demonstrated hands-on coding expertise with modern application development practices.
  • Experience building and operating AI-powered applications or LLM-based systems in production environments.
  • Ability to interpret ambiguous business requirements and independently deliver robust, well-tested solutions.
  • Experience designing scalable cloud-native applications.

Technical Skills
  • Artificial Intelligence and Expert Systems
  • Large Language Models (LLMs)
  • Agent-based AI architectures
  • API development and microservices
  • Python development
  • FastAPI
  • Frontend development using Angular or React
  • Production software engineering and DevOps practices

Agentic AI Experience
  • Experience building agent-based systems using frameworks such as:
    • Google Agent Development Kit (ADK)
    • CrewAI
    • LangGraph
    • Similar agent orchestration platforms
  • Familiarity with agentic development tools and AI-assisted coding environments, including:
    • OpenCode
    • Claude Code
    • Comparable AI developer productivity tools

Preferred Qualifications
Cloud & Platform Experience
  • Google Cloud Platform (Google Cloud Platform)
  • Cloud-native application architecture
  • Platform engineering and AI infrastructure

Machine Learning & AI
  • Applied machine learning experience, including:
    • Embeddings
    • Classification
    • Clustering
    • Natural Language Processing (NLP)
    • Model evaluation and benchmarking
  • Experience implementing AI evaluation frameworks and quality metrics.

Data & Governance
  • Familiarity with:
    • Data engineering principles
    • Enterprise data platforms
    • Metadata management
    • Data governance processes

Education
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.

EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems.