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AI Specialist

Job in Rochester, Oakland County, Michigan, 48308, USA
Listing for: Tech Mirrors
Full Time position
Listed on 2026-08-30
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Job Title:

AI Specialist

Job Location:

Rochester, MI
- Onsite

We are seeking an experienced AI Specialist to lead the design, development, and implementation of AI-driven initiatives that foster innovation and deliver measurable business value. This role focuses on establishing AI innovation programs, assessing organizational readiness, and driving cultural change while collaborating with cross-functional teams to identify, develop, and deploy AI solutions. The ideal candidate will possess a strong background in machine learning, data science, AI frameworks, and cloud technologies, along with the ability to translate business challenges into scalable AI solutions.

Key Responsibilities:
  • Lead the design, development, and launch of enterprise AI innovation initiatives and programs.
  • Assess organizational readiness, innovation maturity, and AI adoption opportunities across business functions.
  • Establish AI operating models, governance frameworks, success metrics, and best practices aligned with organizational technology standards.
  • Collaborate with business leaders, technical teams, and stakeholders to identify high-value AI use cases and business opportunities.
  • Gather, analyze, and document business and technical requirements for AI solutions.
  • Design, develop, train, validate, and deploy machine learning and AI models to improve business processes and decision-making.
  • Develop AI roadmaps and prioritize innovation initiatives based on business impact and strategic objectives.
  • Promote cross-functional collaboration, knowledge sharing, and adoption of AI technologies throughout the organization.
  • Evaluate emerging AI technologies, research, tools, and industry trends to recommend innovative solutions.
  • Monitor AI solution performance and continuously improve models, workflows, and deployment strategies.
  • Ensure AI solutions follow security, governance, compliance, and ethical AI best practices.
  • Prepare technical documentation, presentations, and executive updates on AI initiatives and outcomes.
  • Support organizational change management efforts to encourage AI adoption and innovation culture.
Required Qualifications:
  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field (Master's degree preferred).
  • 5+ years of experience designing, developing, and implementing AI, machine learning, or data science solutions.
  • Strong experience developing machine learning models using Python or R.
  • Hands-on experience with AI and machine learning frameworks such as Tensor Flow, PyTorch, Keras, and Scikit-learn.
  • Experience with big data technologies including Apache Spark and Databricks.
  • Experience developing AI solutions using cloud platforms such as AWS (Sage Maker, EC2, S3) and/or Microsoft Azure (Machine Learning Studio, Databricks).
  • Strong knowledge of SQL, No

    SQL databases, and data engineering concepts.
  • Experience working with data visualization tools such as Tableau or Power BI.
  • Strong analytical, problem-solving, and communication skills.
  • Experience working in Agile software development environments.
  • Ability to collaborate effectively with technical and non-technical stakeholders.
Preferred Qualifications:
  • Experience leading AI innovation programs or enterprise AI adoption initiatives.
  • Experience developing AI governance frameworks and responsible AI practices.
  • Knowledge of Generative AI, Large Language Models (LLMs), prompt engineering, or AI automation platforms.
  • Experience with MLOps, CI/CD pipelines, and AI model lifecycle management.
  • Familiarity with change management methodologies and organizational transformation initiatives.
  • AI, Cloud, or Data Science certifications are a plus.
Technical Environment
  • Programming:
    Python, R
  • AI/ML Frameworks:
    Tensor Flow, PyTorch, Keras, Scikit-learn
  • Big Data:
    Apache Spark, Databricks
  • Cloud Platforms: AWS (Sage Maker, EC2, S3), Microsoft Azure (Machine Learning Studio, Databricks)
  • Databases: SQL, No

    SQL
  • Analytics & Visualization:
    Tableau, Power BI
  • Development Tools:
    Jupyter Notebooks
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