Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
We value a strong sense of ownership—you’ll be expected to see product and project deliverables through to completion. If you thrive in a fast-paced, agile environment and are ready to take initiative with light supervision, this is a great opportunity to grow your skills and make a meaningful impact.
- Contribute to the development of AI/ML-powered applications and systems, including multi-agent and agentic systems, that drive optimization, enhance operational efficiency, and enable intelligent decision-making for water and environmental infrastructure.
- Design and develop frameworks for deploying complex models (data-driven, physics-based, hybrid) that serve as the reasoning engine for intelligent agents, enabling them to perceive, plan, and act within our digital solutions.
- Develop and implement the core components of agentic AI to enable systems that can autonomously interact with real-world infrastructure data (e.g., SCADA, IoT, GIS).
- Support the creation of technical specifications, assess data availability and quality, and apply appropriate modeling and agent architecture approaches to meet project goals.
- Participate in the rigorous testing and validation of AI systems, moving beyond traditional model accuracy metrics to evaluate agentic behavior, task success rates, and system reliability in simulated and real-world operational scenarios.
- Create comprehensive documentation for AI/ML systems, including design specifications, functional/technical details for agentic workflows, and data normalization processes to support robust data architecture.
- Write clear and maintainable code documentation using Markdown or similar formats to support ongoing development and deployment of data science software and AI systems.
- Collaborate across product, engineering, and subject matter expert teams; actively research and prototype emerging concepts in agentic AI to ensure Trinnex remains at the forefront of digital water solutions.
- Assist internal stakeholders and customers with data-related technical issues, contributing to the support and evolution of a data infrastructure capable of supporting real-time agentic operations.
- Ensure adherence to best practices in data science and AI development, including model training, validation, testing, algorithm selection, and responsible AI principles.
- Perform other duties as assigned to support team and organizational goals.
Key Skills
Ranked by relevanceReady to apply?
Join Trinnex and take your career to the next level!
Application takes less than 5 minutes