Senior Machine Learning / AI Engineer

Overview

Job Title: Machine Learning Engineer (Manufacturing)

Key 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 & 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 & data pipeline reliability Prepare & curate training datasets with domain SMEs 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 ~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 (e.g. Claude, ChatGPT, GitHub Copilot) 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:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Industry, Ireland, Machine Learning, NLP, Supervised Learning, Unsupervised Learning