My client is looking for a Senior AI Solutions Engineer with a minimum of 5 years of experience to join their organisation in Limerick. This is a permanent role.
Key Skills & Experience
- 5+ years' experience in AI Engineering, Machine Learning Engineering, Applied Data Science, or a similar technical role delivering production-ready AI solutions.
- Strong experience developing and deploying machine learning models within manufacturing, industrial, IoT, or operational technology environments, including exposure to MES, SCADA, or sensor data.
- Proficiency with Python machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn, with experience deploying solutions across AWS, Azure, or Google Cloud.
- Practical experience building Generative AI solutions, including Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, AI agents, and LLM integration.
- Solid understanding of MLOps principles, including CI/CD, Docker, Kubernetes, model deployment, monitoring, governance, and lifecycle management.
- Excellent problem-solving and stakeholder engagement skills, with the ability to translate business requirements into scalable AI and machine learning solutions.
Responsibilities
- Design, develop, and deploy machine learning models that support predictive maintenance, quality inspection, anomaly detection, computer vision, and operational optimisation.
- Build and maintain end-to-end AI and machine learning pipelines, covering data preparation, feature engineering, model training, deployment, monitoring, and continuous improvement.
- Develop Generative AI applications using structured and unstructured data, including technical documentation, maintenance records, operational data, and knowledge repositories.
- Implement robust model governance, monitoring, and evaluation processes to ensure accuracy, performance, explainability, compliance, and long-term reliability.
- Partner with engineering, manufacturing, operations, and technology teams to identify opportunities where AI can improve efficiency, productivity, and business performance.
- Contribute to the organisation's AI strategy by promoting best practices, supporting technical standards, and driving continuous innovation across machine learning and AI capabilities.
