Machine Learning / GenAI Engineer

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

Machine Learning/GenAI Engineer x2 – Focus: Smart Manufacturing & AI Solutions

Core Responsibilities

Model Development & Deployment

• Build and implement machine learning models for predictive maintenance, anomaly detection, and process optimization.
• Develop GenAI-powered applications for automated reporting, intelligent chatbots, and simulation of manufacturing scenarios.
• Translate research-level algorithms into production-ready solutions using MLOps best practices.

Data Engineering & Integration

• Develop robust data pipelines to collect, clean, and transform sensor, MES, and IoT data for model training and inference.
• Integrate AI models with factory control systems and MES for real-time decision-making.

Predictive Analytics & Quality Control

• Apply AI techniques to forecast equipment failures, optimize production schedules, and enhance product quality.
• Use computer vision and deep learning for automated defect detection and quality assurance.

Automation & Continuous Improvement

• Implement AI-driven workflows and GenAI-based conversational assistants to reduce manual interventions and accelerate cycle times.
• Monitor model performance, detect drift, and automate retraining processes.

Collaboration & Reporting

• Work closely with engineers and IT teams to align AI and GenAI solutions with factory goals.
• Communicate insights and recommendations to stakeholders through dashboards and natural language summaries generated by GenAI.

Required Skills

Technical Expertise

• Proficiency in Python, R, or Java; experience with ML frameworks(TensorFlow, PyTorch, Scikit-learn).
• Strong knowledge of machine learning algorithms, deep learning architectures, and statistical methods.
• Familiarity with MLOps tools (MLflow, KServe, Docker, Kubernetes) andCI/CD pipelines.

Domain Knowledge

• Understanding of manufacturing processes, MES systems, and industrial automation technologies.
• Experience with predictive maintenance, anomaly detection, and real-timeanalytics.

Data Handling

• Expertise in data preprocessing, feature engineering, and working with large-scale sensor/IoT datasets.
• Knowledge of SQL/NoSQL databases and cloud platforms for data storageand model deployment.

Soft Skills

• Strong problem-solving ability, analytical mindset, and effectivecommunication skills.
• Ability to work in cross-functional teams and manage multiple priorities in a fast-paced environment.