Senior Machine Learning / AI Engineer

Overview

Job Title: Machine Learning Engineer (Manufacturing)

Responsibilities

• Design, build, and deploy machine learning models for manufacturing use cases
• Develop and maintain end-to-end ML pipelines, including data ingestion, feature engineering, model training, evaluation, and deployment
• Prepare and curate training datasets with domain SMEs
• Collaborate with cross-functional teams including: Manufacturing engineers, Process engineers, IT / OT teams, Data scientists and analysts
• Integrate ML solutions with production systems (e.g., MES, SCADA, IoT platforms)
• Own feature engineering and data pipeline reliability
• Monitor model performance in production and implement retraining and continuous improvement processes
• Work with structured and unstructured industrial datasets (sensor data, time series, images)
• Ensure solutions are scalable, reliable, and aligned with best practices in MLOps
• Document models, pipelines, and processes to support maintainability and knowledge transfer

Desired Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering (Mechanical, Industrial, Electrical, or related) or equivalent practical experience
• Approximately 5 years of experience in machine learning engineering or applied data science
• Proven experience in a manufacturing, industrial, or IoT environment

Technical Skills

• Machine Learning & Data Science: Strong understanding of supervised and unsupervised learning techniques; Experience with time-series analysis and anomaly detection; Familiarity with computer vision applications (preferred); Model evaluation, validation, and tuning
• Programming & Tools: Proficiency in Python; Experience with ML libraries such as TensorFlow / PyTorch, Scikit-learn; Strong SQL skills and experience with large datasets
• MLOps & Engineering: Experience deploying models securely into production environments; Familiarity with Docker / Kubernetes; CI/CD pipelines; Model monitoring and versioning
• Data Engineering: Experience with data pipelines and ETL processes; Exposure to cloud platforms (AWS, Azure, or GCP)
• AI Tools: Proficient with AI Tools and Assistants for development and research

Key Competencies

• Strong problem-solving skills with a practical, results-driven mindset
• Ability to translate business and operational problems into ML solutions
• Effective stakeholder communication, including non-technical audiences
• Collaborative team player with cross-functional experience
• High attention to detail and data quality
• Ability to breakdown work into deliverables

Company

Digital Manufacturing Ireland

Qualifications

• Educational level: Senior (5+ years of experience)

Language requirements

• Not specified

Specific requirements

• Not specified