Trinnex is looking to develop and enhance AI/ML solutions to transform water resource management and protection by creating innovative, smart, and scalable solutions.
Requirements
- Proficiency in programming languages such as Python, C, or C++, with a solid understanding of the software development life cycle.
- Hands-on experience with machine learning libraries and tools (e.g., Scikit-learn, TensorFlow, Keras).
- Foundational knowledge of statistical analysis and software development principles.
- Familiarity with MLOps practices and a general understanding of their role in model lifecycle management.
- Willingness to learn and grow within the Google Cloud Platform (GCP) ecosystem, including model deployment and containerization techniques.
- Openness to exploring cutting-edge AI tools such as Google’s Agentic AI toolkit, including ADK and A2A, to help transform next-generation AI products.
Responsibilities
- 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.
Other
- This position requires the candidate to reside in the Raleigh, NC area. Remote work options are available.
- Strong written and verbal communication skills, with the ability to collaborate effectively with team members, users, and external stakeholders.
- Excellent attention to detail and a proactive approach to problem-solving.
- Ability to clearly discuss and explain design concepts, trade-offs, and implementation options.
- NO Visa Sponsorship Available
