Full Time Artificial Intelligence Engineer Jobs, Salary up to SGD 7,000 in Rosemallow Technologies - Maukerja

Role Overview

We are seeking experienced Machine Learning / Generative AI Engineer to design, develop, and deploy advanced AI/ML and Generative AI (GenAI) solutions that optimize manufacturing operations in a high-volume production environment.

This role focuses on leveraging machine learning, predictive analytics, and automation technologies to improve production yield, reduce downtime, and enable smart factory capabilities aligned with Industry 4.0 principles.

Key Responsibilities

Model Development & Deployment

Design, build, and deploy machine learning models for predictive maintenance, anomaly detection, and process optimization.

Develop GenAI-powered applications, including automated reporting tools, intelligent chatbots, and manufacturing scenario simulations.

Translate research-oriented algorithms into scalable, 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 Manufacturing Execution Systems (MES) to support real-time decision-making.

Predictive Analytics & Quality Control

Apply AI and machine learning techniques to forecast equipment failures, optimize production schedules, and improve product quality.

Utilize computer vision and deep learning technologies for automated defect detection and quality assurance.

Automation & Continuous Improvement

Implement AI-driven workflows and GenAI-based conversational assistants to reduce manual intervention and improve operational efficiency.

Monitor model performance, detect model drift, and automate retraining processes to maintain model accuracy and reliability.

Collaboration & Reporting

Collaborate closely with engineering and IT teams to align AI and GenAI initiatives with manufacturing objectives.

Communicate insights, recommendations, and performance metrics through dashboards and GenAI-generated natural language summaries.

Required Skills

Technical Expertise

Proficiency in programming languages such as Python, R, or Java.

Hands-on experience with machine learning frameworks, including TensorFlow, PyTorch, and Scikit-learn.

Strong understanding of machine learning algorithms, deep learning architectures, and statistical analysis methods.

Familiarity with MLOps tools and platforms such as MLflow, KServe, Docker, and Kubernetes.

Experience with CI/CD pipelines and deployment automation.

Domain Knowledge

Understanding manufacturing processes, MES systems, and industrial automation technologies.

Experience in predictive maintenance, anomaly detection, and real-time analytics within manufacturing environments.

Data Engineering & Data Handling

Expertise in data preprocessing, feature engineering, and handling large-scale sensors and IoT datasets.

Knowledge of SQL and NoSQL databases, as well as cloud platforms used for data storage and model deployment.

Soft Skills

Strong analytical thinking and problem-solving capabilities.

Effective verbal and written communication skills.

Ability to work collaboratively in cross-functional teams and manage multiple priorities in a fast-paced environment.

Pay: $3,179.20 - $7,000.00 per month

Benefits:

• Cell phone reimbursement
• Flexible schedule
• Free parking
• Parental leave

Work Location: In person