Artificial Intelligence Engineer

Job Title: AI and Data Analytics Specialist

Location: Tipperary, Ireland - Onsite

About the Role:

We are looking for an experienced and dynamic AI and Data Analytics Specialist to join our medical device client. In this role, you will leverage cutting-edge AI technologies, data analytics, and machine learning techniques to drive automation, enhance data-driven decision-making, and improve manufacturing processes. The ideal candidate will have a deep understanding of both AI and data analytics, along with hands-on experience in key technologies and systems used in the manufacturing domain.

Key Responsibilities:

• Stay up-to-date with the latest trends and technologies in AI, ensuring the use of best practices and innovative solutions.
• Utilise data analytics skills to gather, interpret, and analyse large datasets, providing actionable insights to improve operations.
• Design and develop intuitive user interfaces for better data accessibility and visualization.
• Develop and implement mapping solutions to identify commonalities and trends in alerts across systems.
• Drive the digitalisation and automation of key tasks within the organisation to improve efficiency.
• Understand and work with critical manufacturing process data such as MES, BMRAM, SAP, and machine data.
• Utilize historian databases to manage and analyse time-series data for process optimisation.
• Work with various SAS Modules to facilitate data analysis and reporting.
• Utilise NEO4J graph database technology to analyse relationships between data points for better decision-making.
• Write and optimise Python scripts to automate data workflows and integrate various systems.
• Develop dashboards, reports, and visualisations using Qlik Sense to support data-driven decisions across the business.
• Implement machine learning techniques, particularly regression analysis, to predict trends and support decision-making processes.

Key Qualifications:

• Proven experience in AI, data analytics, and machine learning applications.
• Strong understanding of manufacturing processes and the integration of data from systems such as MES, BMRAM, SAP, and machine data.
• Hands-on experience with SAS Programming and Qlik Sense for reporting and data visualisation.
• Solid experience with graph database technologies, specifically NEO4J.
• Expertise in Python programming for data automation and integration tasks.
• Knowledge of historian databases and how to leverage them for time-series analysis.
• Experience in task automation and process digitalisation in an industrial or manufacturing environment.
• Strong problem-solving skills and the ability to work with cross-functional teams to drive change.
• Excellent communication and presentation skills to convey complex technical insights to non-technical stakeholders.

Preferred Skills:

• Experience with advanced machine learning techniques beyond regression analysis.
• Familiarity with data security and governance protocols.
• Experience working with cloud-based solutions for data storage and processing.