Job Description

Job Description

Job Description

Key Responsibilities:

AI Development & Deployment

• Build and roll out AI/ML solutions that connect with ERP, MES, SCE, CPQ, and other enterprise systems.
• Identify inefficiencies and apply AI where it makes the most impact on ROI, whether through automation, optimization, or predictive insights.
• Develop and maintain in-house AI tools including NLP, forecasting, and analytics models.
• Recommend solutions to leadership with clear pros and cons.
• Work independently and deliver from prototype through production.

Data and Integration

· Own the pipelines that prepare data for AI, including ETL, feature engineering, and training workflows.

· Ensure data quality so models are built and deployed on reliable information.

· Build and support APIs and integrations that allow models to work directly with enterprise applications.

· Document datasets, integrations, and model performance in a clear and usable way.

Process Optimization

• Map out current processes, find bottlenecks, and show where AI can improve outcomes.
• Work with Operations, Manufacturing, Finance, and other teams to translate requirements into real AI solutions.
• Support business process changes by embedding AI into workflows.

Training and Documentation

• Write documentation for models, APIs, and integrations that anyone can follow.
• Train users on AI tools to help adoption and long-term success.
• Contribute to standards for AI governance, versioning, and responsible use.

Reporting and Analytics

• Build and automate dashboards and reports that use AI to provide real insights.
• Support business users with predictive modeling, advanced analytics, and reporting needs.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, AI, or a related field.
• 3+ years of experience in AI/ML development and deployment.
• Solid SQL and relational database experience.
• Knowledge of the full model lifecycle including training, deployment, monitoring, and retraining.
• Background with enterprise systems like ERP, MES, SCE, or CPQ.
• Experience with APIs, microservices, and cloud AI platforms such as Azure or AWS.
• Strong problem-solving skills with the ability to deliver scalable AI solutions.

Preferred Skills

• Experience with Infor ERP or similar enterprise systems.
• Familiarity with large language models (LLMs) and how to apply them in business.
• Understanding of manufacturing and supply chain operations.
• Experience with MLOps including automation and CI/CD for AI models.

Personal Attributes

• Learns quickly and adapts to new AI/ML methods.
• Explains technical ideas in plain language.
• Self-motivated and able to deliver from idea through to completion.
• Strong attention to detail with practical problem-solving ability.

Work Conditions

• After-hours availability dependent on need.
• Sitting for extended periods of time.
• Dexterity of hands and fingers to operate a computer keyboard, mouse, and to handle other computer components.
• Other duties as assigned.

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