GenAI & ML Engineer for Smart Manufacturing

MINDTECK SINGAPORE PTE LTD; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

MINDTECK SINGAPORE PTE LTD is seeking two Machine Learning/GenAI Engineers focused on Smart Manufacturing & AI Solutions. You will build and deploy ML models for predictive maintenance, anomaly detection, and process optimization, and develop GenAI-powered applications for automated reporting and intelligent chatbots.

Collaborate with IT and engineering to integrate AI with MES and factory control systems, implement MLOps, monitor drift, and deliver NL summaries via GenAI dashboards.

Qualifications

• Proficiency in Python, R, or Java with ML frameworks like TensorFlow, PyTorch, Scikit-learn.
• Familiarity with MLOps tools and CI/CD pipelines.

Responsibilities

• Build and implement ML models for predictive maintenance, anomaly detection, and process optimization.
• Develop GenAI-powered apps for automated reporting, intelligent chatbots, and manufacturing scenario simulations.
• Translate research-level algorithms into production-ready solutions using MLOps best practices.
• Develop data pipelines to collect, clean, and transform sensor/MES/IoT data for model training and inference.
• Integrate AI models with factory control systems and MES for real-time decision-making.
• Apply AI to forecast failures, optimize production schedules, and improve product quality.
• Use CV/deep learning for defect detection and quality assurance.
• Implement AI-driven workflows and GenAI conversational assistants to reduce manual interventions.
• Monitor model performance, detect drift, and automate retraining processes.
• Collaborate with engineers/IT to align AI with factory goals and communicate insights via dashboards and NL summaries.

Skills

Python/R/Java

ML frameworks

CI/CD pipelines

MLflow

KServe

Docker

Kubernetes

Job description

MINDTECK SINGAPORE PTE LTD is seeking two Machine Learning/GenAI Engineers focused on Smart Manufacturing & AI Solutions. You will build and deploy ML models for predictive maintenance, anomaly detection, and process optimization, and develop GenAI-powered applications for automated reporting and intelligent chatbots.

Collaborate with IT and engineering to integrate AI with MES and factory control systems, implement MLOps, monitor drift, and deliver NL summaries via GenAI dashboards.