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Learning Ai Jobs in Michigan (NOW HIRING)

Applied machine learning experience, including: * Embeddings * Classification * Clustering * Natural Language Processing (NLP) * Model evaluation and benchmarking * Experience implementing AI ...

Train new machine learning models to solve complex business problems. * Prototype new AI solutions, including Generative AI, to solve business problems. * Develop new Agentic AI solutions to ...

Train new machine learning models to solve complex business problems. * Prototype new AI solutions, including Generative AI, to solve business problems. * Develop new Agentic AI solutions to ...

Train new machine learning models to solve complex business problems. * Prototype new AI solutions, including Generative AI, to solve business problems. * Develop new Agentic AI solutions to ...

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 ...

Senior AI Engineer

Dearborn, MI ยท On-site

$98K - $133K/yr

In this internal role, you will design, build, and deploy robust data pipelines, scalable machine learning models, and advanced AI/analytical solutions on Google Cloud Platform (GCP) to optimize FCSD ...

... learning AI/ML. Comfortable interfacing with business and gathering business requirements. Translating business requirements into technical solutions Software development lifecycle experience ...

Senior AI/ML Software Engineer

Dearborn, MI ยท On-site

$112K - $148K/yr

Experience in AI/ML, data science, or advanced analytics, with commitment to continue learning AI/ML. * Comfortable interfacing with business and gathering business requirements. Translating business ...

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Showing results 1-20

Learning Ai information

What is a learning AI?

A Learning AI, or Artificial Intelligence that learns, refers to computer systems that can improve their performance over time by analyzing data and experiences. These systems use techniques such as machine learning and deep learning to adapt to new information, recognize patterns, and make predictions or decisions without being explicitly programmed for every task. Learning AI is used in many applications, including recommendation engines, language translation, and autonomous vehicles. As technology advances, Learning AI continues to play a crucial role in automating complex tasks and enhancing decision-making processes.

How do I start a career in learning ai?

To start a career in learning AI, develop a strong foundation in mathematics, programming (especially Python), and machine learning concepts. Gaining hands-on experience through projects, online courses, and certifications such as those from Coursera or edX can help build relevant skills and demonstrate your knowledge to employers.

Is learning AI a good career path?

Learning AI can be a strong career choice due to high demand for skills in machine learning, data analysis, and programming languages like Python. Careers in AI often require continuous learning, strong problem-solving skills, and familiarity with tools such as TensorFlow or PyTorch. The field offers opportunities across industries including technology, healthcare, finance, and automotive sectors.

What is the difference between Learning Ai vs Data Scientist?

AspectLearning AiData Scientist
Required CredentialsTypically a degree in Computer Science, AI, or related fields; certifications in AI/MLDegree in Computer Science, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentTech companies, AI startups, research labs focusing on AI developmentBusiness environments, analyzing data to inform decisions across industries
Employer & Industry UsagePrimarily in AI development, research, and product creationAcross finance, healthcare, marketing, and other sectors for data analysis

Learning Ai focuses on developing algorithms and models that enable machines to learn and improve autonomously, often involving deep learning and neural networks. Data Scientists analyze and interpret complex data to help organizations make informed decisions. While both roles require knowledge of machine learning, Learning Ai is more centered on creating AI systems, whereas Data Scientists focus on extracting insights from data.

How do learning AI professionals typically collaborate with subject matter experts to develop effective training solutions?

Learning AI professionals frequently work alongside subject matter experts (SMEs) to ensure that AI-driven training tools and content are accurate, relevant, and engaging. This collaboration often involves regular meetings to gather domain-specific knowledge, iterative review of training modules, and feedback sessions to fine-tune AI models for optimal learning outcomes. Clear communication and a strong partnership with SMEs are essential, as they help bridge technical AI capabilities with real-world educational needs, resulting in more impactful and user-friendly learning solutions.

What are the key skills and qualifications needed to thrive as a learning AI engineer?

To thrive as a Learning AI Engineer, you need a solid background in computer science, mathematics, and machine learning, often supported by a relevant degree or certification. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or PyTorch), and cloud computing platforms is typically required. Strong problem-solving skills, adaptability, and effective communication set outstanding professionals apart in this field. These skills are crucial for building, deploying, and refining AI models that solve real-world problems efficiently and ethically.

What are popular job titles related to Learning Ai jobs in Michigan?

For Learning Ai jobs in Michigan, the most frequently searched job titles are:

What cities in Michigan are hiring for Learning Ai jobs?

Cities in Michigan with the most Learning Ai job openings:

AI Engineer

Apex Systems

Dearborn, MI โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement

Posted 4 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.