Artificial Intelligence Specialist
Job in
Dearborn, Wayne County, Michigan, 48120, USA
Listed on 2026-06-03
Listing for:
KYYBA, Inc
Full Time
position Listed on 2026-06-03
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Job Description & How to Apply Below
Job Title: (Artificial Intelligence Specialist)
About Kyyba:
Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances.
At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.
Job Description
Employees in this job function are responsible for developing intelligent programs, cognitive applications and algorithms for data analysis and automation, leveraging various AI techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming
Key Responsibilities:
1) Understand business requirements and develop AI algorithms, models and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data (images, sound), orchestrate automation and enable self-service capabilities
2) Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence
3) Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized programming
4) Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation
Skills Required:
Artificial Intelligence & Expert Systems, Machine Learning, Data Science, Data Modeling, Software Development Lifecycle
Skills Preferred:
N/A
Experience
Required:
Specialist Exp: 5+ experience in relevant field
Experience Preferred:
Minimum Requirements
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field.
• 3+ years of progressive experience in AI/ML, data science, or advanced analytics, with a proven track record of delivering production-grade solutions in large enterprise environments.
• Strong proficiency in Python and SQL. Familiarity with Graph Query Languages (e.g., Cypher).
• Demonstrated experience with MLOps principles and tools (e.g., Azure ML, AWS Sage Maker, GCP AI Platform, Kubeflow, MLflow) and designing / implementing AI-specific SDLCs.
• Strong technical expertise in cloud services (GCP/Vertex AI) and data integration patterns
• Strong analytical, problem-solving, and critical thinking skills.
• Exceptional communication, interpersonal skills, and stakeholder management skills.
Preferred Qualifications
• AI-SDLC
Experience:
Proven track record of using AI tools to enhance personal or team productivity (e.g., Agentic workflows, RAG-based requirement synthesis).
• Requirement Engineering:
Experience in a product engineering role with proven track record of translating business needs into technical specifications for applied AI implementation.
• Knowledge Graph:
Understanding semantic ontologies and how they enable advanced analytics.
• COTS Integration:
Experience integrating COTS AI solutions into an enterprise tech stack.
• Supply Chain Domain Knowledge:
Functional understanding of supply chain operations, including demand & capacity planning, logistics, sustainability & risk management, resilience, etc.
Education Required:
Bachelor's Degree
Education Preferred:
Master's Degree
Additional Information:
Hybrid Position 4 days a week onsite
• Business Requirement Gathering:
Partner with supply chain functional leads to elicit and document business requirements and translate them into…
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