Environmental Digital Engineer, AWS Environmental
United States of America
Full Time
2 weeks ago
$99,000 - $211,000 USD
H1B Sponsor Likely
Key skills
AI/ML technologiesEnvironmental management software developmentEnvironmental management analyticsEHS software EnablonEHS software CorityEHS software IntelexPredictive analyticsSoftware development lifecycleStatistical analysisPredictive modelingMachine learning algorithmsReal-time analytics dashboardsData visualizationEnvironmental compliance regulationsBig data technologiesCloud-based AI servicesStakeholder managementStrategic thinkingAIMachine LearningMLAnalyticsStatistical AnalysisAWSAmazon Web Services
About this role
Amazon Web Services (AWS) is seeking a talented and self-motivated Environmental Digital Solutions Engineer to support the AWS Environmental global programs team. The role focuses on managing environmental compliance through the application of AI technologies, developing predictive analytics models, and leading the integration of AI/ML solutions with existing systems.
Responsibilities:
- Drive innovation in environmental compliance through the application of AI technologies and analytical methods
- Design and develop AI-powered compliance monitoring systems using machine learning and advanced analytics for environmental metrics including air quality, water discharge, waste management, and chemical handling
- Build and implement predictive analytics models to forecast potential environmental regulatory compliance violations and automate risk assessment processes
- Create intelligent data pipelines and real-time monitoring dashboards to transform environmental compliance data into actionable insights
- Maintain and enhance analytical models while ensuring scalability and performance
- Lead the integration of AI/ML solutions with existing EHS software systems and data architectures
- Collaborate with stakeholders to translate complex business requirements into AI-driven solutions
- Develop and optimize machine learning algorithms for automated reporting and compliance pattern recognition
- Drive ongoing scalable improvement of our digital tools and systems to meet business, customer, stakeholder and partner needs
Requirements:
- Bachelor's degree in mathematics, engineering, statistics, computer science or a related field
- Experience with AI/ML technologies
- 5-7+ years' experience with environmental management software development or analytics and post-internship software implementation experience
- Implementation experience with EHS software such as Enablon, Cority, Intelex
- Proven track record implementing predictive analytics in environmental management systems
- Knowledge of software development lifecycle, including design, development, test, build, deployment processes and timelines
- Experience developing and deploying AI solutions in Environmental Health and Safety applications, particularly in compliance monitoring and risk assessment
- Strong background in statistical analysis, predictive modeling, and machine learning algorithms
- Expertise in building real-time analytics dashboards and visualization tools
- Knowledge of environmental compliance regulations and EHS software platforms (e.g., Enablon, Cority, Intelex)
- Experience with big data technologies and cloud-based AI services