Job Description
Shape the future of sustainable technology with Nexus Future Labs. We're seeking a visionary AI Sustainability Engineer to pioneer climate-positive solutions for 2026. Join our interdisciplinary team at the intersection of artificial intelligence and environmental innovation, where your work will directly impact global sustainability initiatives.
Responsibilities
- Develop AI-powered climate modeling systems for carbon footprint optimization
- Design machine learning algorithms for renewable energy grid integration
- Create predictive analytics tools for environmental impact assessment
- Lead cross-functional projects with climate scientists and policy experts
- Implement edge-computing solutions for real-time environmental monitoring
- Research and integrate emerging quantum computing applications for sustainability
Qualifications
- MSc/PhD in Computer Science, AI, or Environmental Engineering
- 5+ years experience in ML deployment for climate tech
- Proficiency in Python, TensorFlow, and cloud-native architectures
- Expertise in geospatial data processing and satellite imagery analysis
- Published research in climate-positive AI applications preferred
- Strong background in carbon accounting methodologies
- Certification in sustainable technology frameworks (e.g., ISO 14064)