Artificial Intelligence Engineer

Stefanini Group•Dearborn, MI

18h•Onsite

About The Position

Stefanini Group is hiring! Stefanini is looking for an Artificial Intelligence Engineer (Dearborn, MI) For quick apply, please reach out to Navneet Pathak at 248-213-3677/[email protected] We are looking for a candidate who is 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

Requirements

Artificial Intelligence & Expert Systems
Machine Learning
Data Science
Data Modeling
Software Development Lifecycle
5+ years of experience in relevant 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 SageMaker, GCP AI Platform, Kubeflow, MLflow) and designing / implementing AI-specific SDLCs.
Strong technical expertise in cloud services (GCP/Vertex AI) and data integration patterns
Bachelor's degree in computer science, Engineering, Data Science, or a related technical field.

Nice To Haves

Master's Degree

Responsibilities

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
Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence
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
Research and optimize AI technologies to enhance efficiency and accuracy of data analysis and create more efficient automation
Experience in a product engineering role with proven track record of translating business needs into technical specifications for applied AI implementation.
Understanding semantic ontologies and how they enable advanced analytics.
Experience integrating COTS AI solutions into an enterprise tech stack.
Functional understanding of supply chain operations, including demand & capacity planning, logistics, sustainability & risk management, resilience, etc.
Act as the primary technical lead for applied AI implementation.
Take pre-developed models from internal partners or 3rd-party vendors (COTS) and successfully deploy them within the supply chain GCP space.
Work closely with Knowledge Graph engineering teams to map model inputs/outputs to enterprise ontologies.
Execute model inference against graph data to provide prescriptions for N-tier supplier risk and material movement.
Champion and implement AI-assisted development practices.
Use LLM-based tools (e.g., GitHub Copilot, automated PR agents, and AI-generated documentation) to accelerate delivery and ensure high code quality.
Develop reusable integration patterns and data contracts to ensure that AI solutions can be scaled across multiple business units without redundant engineering effort.
Proven track record of using AI tools to enhance personal or team productivity (e.g., Agentic workflows, RAG-based requirement synthesis).