FLOTECH CONTROLS PTE LTD Hiring! Full Time AI ENGINEER - Industrial Water Analytics in North Region (Singapore), Earn up to SGD 4,000 - Ricebowl

Responsibilities

AI & Data Engineering

Design and implement AI-powered pipelines for industrial water applications such as:

• Sensor anomaly detection
• Water quality prediction and sensor drift detection
• Predictive maintenance for pumps, valves, and meters
• Develop predictive machine learning and time-series analytics pipelines for high-frequency sensor data
• Build and maintain feature engineering pipelines for physical and hydraulic signals

IoT & Systems Integration

• Integrate AI Agents with IoT platforms, SCADA systems, and edge devices
• Deploy models across cloud and edge environments (containerized or embedded)
• Collaborate with domain experts, firmware and hardware teams to translate operational requirements to AI-driven solutions
• Optimize models for latency, reliability, and efficiency

Cloud & Agentic AI Workflows

• Integrate AI agents with IoT sensors and cloud data platforms.
• Develop AI-driven data analysis, anomaly detection, root-cause analysis, and recommendation engines for water operations
• Implement Retrieval-Augmented Generation (RAG),knowledge graphs, and LLM-based decision-support systems
• Deploy AI services using cloud platforms (e.g., Azure, AWS, or equivalent)
• Design APIs and data services for real-time and batch inference
• Monitor workflow performance and data quality in production

Applied Research &Innovation

• Apply physics-informed ML, hybrid models, or graph-based approaches where applicable
• Translate operational problems into solvable AI solutions
• Prototype and validate solutions using real industrial datasets
• Document models clearly for engineering, operations, and regulatory review

Requirements:

Technical Skills

• Hands-on experience with machine learning for time-series data
• Hands on experience with LLMs and prompt engineering
• Experience building or integrating agentic AI workflows
• Familiarity with RAG, vector databases, LangChain like frameworks
• Solid understanding of statistics, signal processing, and anomaly detection
• Experience handling IoT data pipelines(streaming and batch)
• Familiarity with cloud platforms and containerization (Docker/Kubernetes)

Domain & Systems Awareness

• Understanding of industrial or physical systems (water, energy, manufacturing, or utilities preferred)