Artificial Intelligence Engineer

Job Description - Artificial Intelligence Engineer

Artificial Intelligence Engineer

Location: Melvindale, MI (On-site, Remote)

Company: Stefanini Group

Contact: Navneet Pathak at 248-213-3677 / [email protected]

Job Summary

Seeking an Artificial Intelligence Engineer responsible for developing intelligent programs, cognitive applications, and algorithms for data analysis and automation. This role leverages various AI techniques including deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants, and specialized programming.

Key Responsibilities

• Understand business requirements and develop AI algorithms, models, and programs.
• Perform large-scale experimentation and develop data-driven applications.
• Drive innovative applications of AI tools and techniques.
• Research and optimize AI technologies for efficiency and accuracy.
• Translate business needs into technical specifications for applied AI implementation.
• Integrate COTS AI solutions into an enterprise tech stack.
• Act as the primary technical lead for applied AI implementation, deploying models from internal partners or vendors.
• Collaborate with Knowledge Graph engineering teams for model input/output mapping and inference execution.
• Champion and implement AI-assisted development practices using LLM-based tools.
• Design integration patterns and automated pipelines for AI solutions.
• Develop reusable integration patterns and data contracts for scalable AI solutions.
• Utilize AI tools to enhance personal or team productivity.

• Artificial Intelligence & Expert Systems
• Machine Learning
• Data Science
• Data Modeling
• Software Development Lifecycle
• Python and SQL (Strong proficiency)
• Graph Query Languages (e.g., Cypher - Familiarity)
• MLOps principles and tools (e.g., Azure ML, AWS SageMaker, GCP AI Platform, Kubeflow, MLflow)
• Cloud services (GCP/Vertex AI) and data integration patterns (Strong technical expertise)

• 5+ years of experience in a 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.
• Experience in a product engineering role with proven track record of translating business needs into technical specifications for applied AI implementation.
• Functional understanding of supply chain operations.
• Experience integrating COTS AI solutions into an enterprise tech stack.

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.

• Master's Degree

$75.00 - $80.00 per hour

• Listed salary ranges may vary based on experience, qualifications, and local market. Some positions may include bonuses or other incentives.