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# AI Engineer

- **Company:** The Weidmann Group
- **Location:** Urbana, IL, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Data Analysis, C++ (Programming Language), Information Systems, Databases, Data Governance, Data Transformation, Data Security, Python (Programming Language), Machine Learning, SAP (Applications), Software Engineering, Enterprise Data Management, Large Language Models, Prompt Engineering, Generative AI, Agentic-AI, Pandas, Scikit Learn, Information Technology, Qlikview, Tools for Reporting, Software Version Control, Programming Languages
- **Published:** October 15, 2026
- **Apply:** https://jobs.dayforcehcm.com/en-US/wicor/CANDIDATEPORTAL/jobs/3668

## About the Role

Applicants must be legally authorized to work in the United States at the time of employment, * Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, Information Systems, or a related technical field.

 * Advanced degree or relevant professional certifications in AI, machine learning, data science, or analytics is preferred.
 * 1-3+ years of professional experience in data science, AI/ML engineering, analytics engineering, software engineering, or a closely related field.
 * Hands-on experience developing statistical or machine learning models and analytical solutions.
 * Experience working with data modeling, data transformation, APIs, and enterprise data environments.
 * Manufacturing, supply chain, finance, commercial, or other business-process experience is preferred.
 * Strong proficiency in Python, including libraries such as pandas and scikit-learn.
 * Working knowledge of machine learning, statistics, data modeling, and analytical methodologies.
 * Experience developing and consuming APIs and working with databases or enterprise data platforms.
 * Experience with BI and visualization platforms such as Qlik or comparable tools.
 * Understanding of software development practices, version control, testing, documentation, and deployment.
 * Knowledge of C++ or another programming language is beneficial but not required.
 * Familiarity with generative AI, large language models (LLMs), prompt engineering, AI agents, or retrieval-augmented generation (RAG) is preferred.
 * Understanding of data governance, security, privacy, and responsible AI practices is preferred.

## Description

The AI Engineer develops and implements practical artificial intelligence, machine learning, and analytics solutions that improve business decision-making, process efficiency, and automation. This role works closely with business and technical stakeholders to translate business needs into scalable, reliable, and governed AI and analytics solutions that integrate with the company's data, BI, and digitalization environment.

How you'll make an impact…

 * Develop, test, deploy, and maintain AI, machine learning, and statistical models to address business needs and improve decision-making.
 * Analyze data to identify trends, patterns, opportunities, and potential business risks while evaluating the accuracy and effectiveness of analytical models.
 * Build and maintain data preparation, transformation, and integration processes using APIs, databases, and business systems.
 * Ensure data accuracy, consistency, traceability, and appropriate governance throughout data processing and analytical activities.
 * Collaborate with business stakeholders to identify opportunities and translate business requirements into practical AI and analytics solutions.
 * Integrate AI and analytics into dashboards, reporting tools, automation workflows, and business processes in collaboration with IT, SAP, and BI teams.
 * Follow established standards for data security, privacy, responsible AI use, and model governance while documenting methodologies, data sources, and technical solutions.
 * Identify opportunities to reduce manual work, improve operational efficiency, and develop scalable, reusable AI and analytics solutions across the organization., We are a globally active family company whose sustainable and responsible actions contribute to improved living standards. We are an attractive employer with a value-oriented corporate culture based on trust, appreciation and continuous improvement.