AI Automation Engineer
Job Description
Milacron, a global leader in plastic technology and processing industry, is seeking an AI Automation Engineer to drive innovation in their manufacturing systems. This role combines advanced AI/ML expertise with industrial automation, focusing on transforming raw machine data into actionable insights and autonomous control strategies. The position offers an opportunity to work with cutting-edge technology in manufacturing, implementing AI solutions for predictive maintenance, process optimization, and anomaly detection.
The ideal candidate will be responsible for architecting end-to-end AI pipelines, collaborating with automation engineers, and developing sophisticated machine learning models for industrial applications. They will work with various industrial systems including PLC, SCADA, and HMI environments, while ensuring solutions align with control and automation standards.
This role is perfect for a systems thinker who can bridge the gap between traditional industrial equipment and modern AI technologies. The position requires strong technical skills in Python, SQL, and industrial automation platforms, combined with the ability to communicate complex AI concepts to diverse stakeholders.
Working at Milacron means joining a company with a strong market position in plastic technology, offering the chance to impact a $27 billion industry. The company maintains leading positions in process control systems, mold bases, and components, providing a rich environment for innovation and professional growth.
Responsibilities For AI Automation Engineer
- Design and deploy AI and machine learning models for predictive maintenance, process optimization, and anomaly detection
- Architect end-to-end AI pipelines—from data ingestion and preprocessing to model deployment
- Collaborate with automation engineers to integrate AI-driven logic into PLC, SCADA, and HMI environments
- Work with historians, MES, and SCADA systems to collect, clean, and analyze industrial data
- Optimize system performance through data analysis and pattern recognition
- Develop digital twins, simulators, or rule-based models
- Build scalable, maintainable AI systems
- Evaluate new tools, platforms, and algorithms for industrial AI initiatives
Requirements For AI Automation Engineer
- Proven background in data engineering, statistical modeling, and AI/ML algorithm development
- Strong understanding of time-series analysis, process control theory, and signal processing
- Proficient in Python, SQL
- Experience with edge deployment frameworks (ONNX) and industrial hardware integration
- Familiarity with automation platforms: Siemens, Beckhoff, Allen-Bradley, OPC UA, MQTT, Modbus
- Bachelor's or Master's in Data Science, Electrical/Mechanical Engineering, Computer Science, or related
- 3+ years in industrial automation, equipment R&D, or manufacturing environments
- Working knowledge of cloud-based ML tools and containerization
- Understanding of cybersecurity and safe AI deployment
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