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Masters In Artificial Intelligence Jobs in Michigan

... in artificial intelligence, machine learning, or generative artificial intelligence solution architecture * Experience with Oracle Cloud Infrastructure services, including Generative AI Service ...

... artificial intelligence initiatives * Experience overseeing project resources or junior team members * Master of Business Administration (MBA), Master of Science in Finance, or another master ...

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

Showing results 21-40

Masters In Artificial Intelligence information

What are the key skills and qualifications needed to thrive with a masters in artificial intelligence?

To thrive with a Master's in Artificial Intelligence, you need a solid background in mathematics, programming (often Python), and machine learning principles, supported by an advanced degree in AI or a related field. Familiarity with tools such as TensorFlow, PyTorch, and cloud computing platforms, as well as knowledge of data analysis and visualization systems, is typically required. Strong problem-solving abilities, creativity, and effective communication skills help you design solutions and present technical concepts to diverse audiences. These competencies are crucial for developing innovative AI systems, collaborating across teams, and driving impactful technology projects.

How does earning a masters in artificial intelligence impact opportunities for interdisciplinary collaboration in professional settings?

A Master's in Artificial Intelligence uniquely positions professionals to collaborate across diverse teams, including data scientists, software engineers, and domain experts in areas like healthcare, finance, or manufacturing. Graduates often find themselves bridging gaps between technical and non-technical stakeholders, translating complex AI concepts into actionable business solutions. This interdisciplinary environment enhances problem-solving skills and offers exposure to a wide range of real-world challenges, fostering both personal and career growth. Such collaboration is highly valued by employers, as it drives innovative solutions and helps integrate AI technologies into various industries.

What is a masters in artificial intelligence?

A Masters in Artificial Intelligence is a graduate-level degree program that focuses on teaching students advanced concepts and techniques in AI, including machine learning, deep learning, natural language processing, robotics, and data science. The program is designed to equip students with both theoretical knowledge and practical skills needed to develop intelligent systems and solve real-world problems using AI technologies. Graduates are prepared for careers in industries such as technology, healthcare, finance, and academia, or for pursuing further research in the field.
What are popular job titles related to Masters In Artificial Intelligence jobs in Michigan? For Masters In Artificial Intelligence jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Masters In Artificial Intelligence jobs? Cities in Michigan with the most Masters In Artificial Intelligence job openings:
Infographic showing various Masters In Artificial Intelligence job openings in Michigan as of July 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution.

Senior Technical Architect (AI/ML) : Auburn HIlls, MI : W2 only

Marvel Technologies Inc

Auburn Hills, MI โ€ข On-site

Contractor

Re-posted 5 days ago


Job description

Senior Technical AI/ML Architect- (w2 only & Hybrid)

Auburn HIlls, MI 

We are seeking an experienced Senior Technical AI Architect with expertise in Artificial Intelligence (AI) and Machine Learning (ML), specializing in Google's suite of AI products. The ideal candidate will have a proven track record in designing and implementing advanced chatbot solutions that serve as intelligent agents, capable of providing information from company-approved data sources tailored to specific customer needs.  

Key Responsibilities:

  • Lead the architecture and design of AI/ML solutions, with a primary focus on chatbot development using Google's AI products.
  • Develop sophisticated chatbots that can act as intelligent agents, integrating with company-approved data sources to provide accurate and relevant information to customers.
  • Design and implement natural language processing (NLP) and natural language understanding (NLU) systems to enhance chatbot interactions.
  • Architect scalable and secure solutions for deploying AI models and chatbots in production environments.
  • Collaborate with data scientists, software engineers, and product managers to align AI solutions with business objectives and customer needs.
  • Evaluate and integrate various data sources, ensuring chatbots can access and utilize company-approved information effectively.
  • Implement personalization and context-aware features in chatbots to enhance user experience.
  • Develop strategies for continuous improvement of chatbot performance through machine learning and user feedback.
  • Ensure compliance with data privacy regulations and company policies in all AI/ML implementations.
  • Provide technical leadership and mentoring to the AI/ML development team.
  • Prior experience of tread reporting is mandatory
  • Prior experience of NHTSA is mandatory.

Extensive experience with Google's AI products, including but not limited to:

  • Google Cloud AI Platform
  • Dialogflow
  • Cloud Natural Language API
  • Cloud Translation API
  • TensorFlow
  • Proven track record of designing and implementing successful chatbot solutions that serve as intelligent agents.
  • Strong understanding of NLP, NLU, and machine learning algorithms.
  • Experience integrating chatbots with various data sources and APIs.
  • Proficiency in programming languages commonly used in AI/ML development (e.g., Python, Java, Go).
  • Familiarity with cloud platforms, preferably Google Cloud Platform (GCP).
  • Knowledge of data privacy regulations and best practices for secure AI implementations. 

Education:

  • Master's degree or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • 8+ years of experience in AI/ML architecture, with at least 5 years focusing on chatbot development.