Artificial Intelligence Consultant – Water & Environmental Sustainability

Nexus Ecosystems seeks an Artificial Intelligence Consultant for Water & Environmental Sustainability in Singapore. The role involves designing and implementing AI solutions to enhance water management and sustainability, focusing on data analytics and machine learning. Key responsibilities include developing AI models, assessing data quality, optimizing resource use, and collaborating on innovative solutions. Candidates should have a relevant degree and 3-5 years of AI/ML experience, preferably in water or environmental systems.
Role Description
The Artificial Intelligence (AI) Consultant will design and implement AI-driven solutions to improve water management, wastewater treatment, and environmental sustainability. The role focuses on applying data analytics, machine learning, and digital technologies to optimise resource use, reduce environmental impact, and enhance operational efficiency for utilities, industrial clients, and public agencies.

Key Responsibilities
1. AI Solution Design & Implementation

Develop AI/ML models for water source management, demand forecasting, leakage detection, and asset performance optimisation

Design predictive maintenance solutions for reservoirs, treatment plants and distribution systems

Apply computer vision and sensor analytics for real-time monitoring of water quality and environmental parameters

2. Data Strategy & Integration

Assess data availability and quality across SCADA, IoT, and enterprise systems

Design data pipelines and architectures to support AI applications

Integrate AI models into existing operational systems (e.g., digital twins, control systems)

3. Sustainability & Resource Optimisation

Use AI to optimise energy consumption, chemical dosing, and process efficiency

Support circular economy initiatives (e.g., water reuse, waste-to-resource, nutrient recovery)

Quantify environmental impact reductions (carbon, water footprint, pollution load)

4. Innovation & R&D

Identify emerging AI technologies relevant to water and environmental sectors

Collaborate with research institutions and technology partners

Pilot and scale innovative solutions (e.g., autonomous treatment systems, AI-driven decision support)

Required Qualifications & Skills

Degree in Engineering, Environmental Science, Data Science, Computer Science, or related field

3–5 years experience in AI/ML, with exposure to water or environmental systems preferred

Strong knowledge of machine learning techniques

Experience with AI tools and data engineering frameworks

Familiarity with water infrastructure (treatment processes, distribution networks, wastewater systems) is a strong advantage

#J-18808-Ljbffr