Job Description

 The AI Engineer will be responsible for developing, implementing, and maintaining machine learning models and AI solutions to optimize manufacturing processes. This role involves working closely with cross-functional teams to collect data, identify process bottlenecks, and translate operational challenges into data-driven insights that improve productivity, yield, and quality.

•  Design, develop, and deploy machine learning models to support predictive maintenance, process optimization, defect detection, and yield improvement.
  • Collect, clean, and preprocess large datasets from production lines, sensors, and quality control systems.
  • Collaborate with production and equipment engineers to identify use cases for AI implementation.
  • Develop algorithms for anomaly detection, process control, and root-cause analysis.
  • Implement data visualization dashboards for real-time process monitoring.
  • Conduct model performance evaluation and continuous improvement.
  • Support integration of AI solutions into manufacturing systems (e.g., MES, PLC, SCADA).
  • Stay updated on AI/ML trends and recommend new tools or technologies for factory digitalization.
  • Document methodologies and ensure reproducibility of models and results. 

Job Requirements

<Requirements>
• Min. Bachelor’s Degree in Computer Science, Artificial Intelligence, Data Science, Mechatronics, Electrical/Electronic Engineering, or related field.
• Minimum 2–3 years of experience in AI or machine learning applications, preferably in a manufacturing or industrial environment.
• Strong programming skills in Python and familiarity with SQL or NoSQL databases.
• Knowledge of data visualization tools (e.g., Power BI, Tableau, or Dash).

<Advantageous>
• Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
• Experience with IoT or industrial data collection systems is a plus.
• Understanding of manufacturing processes, equipment data, and sensor integration.
• Familiarity with predictive analytics and computer vision (image-based quality inspection).
• Strong problem-solving mindset and ability to work collaboratively in cross-functional teams.
• Good communication and presentation skills.

Skills