AI/ML Developer

Why Trinnex?

If you are passionate about water and technology, Trinnex is the place for you! Trinnex is a visionary company that is transforming the way water resources are managed and protected. By combining cutting-edge digital technologies, such as sensor/IoT data, models, geospatial data, and AI/machine learning, we create innovative, smart, and scalable solutions that make a difference. Whether it's optimizing water supply and demand, detecting leaks and anomalies, or enhancing water quality and resilience, Trinnex delivers value and impact to public sector clients across the country.

Job Description

This position requires the candidate to reside in the Raleigh, NC area. Remote work options are available.

Are you passionate about artificial intelligence and machine learning? We're seeking a driven and curious individual to support the development and enhancement of AI/ML solutions that power innovation across our products and services. In this role, you'll help develop AI/ML systems, convert algorithms into functional code, interpret complex data sets, and customize models to meet real-world needs.

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.

#LI-DNI

Minimum Qualifications

• Bachelor's Degree.
• 0 years of experience.
• Equivalent additional directly related experience will be considered in lieu of a college degree.


Domestic and/or international travel may be required. The frequency of travel is contingent on specific duties, responsibilities, and the essential functions of the position, which may vary depending on workload and project demands.

Preferred Qualifications

• Bachelor's Degree or higher in Civil, Environmental, Chemical, Mechanical Engineering, Computer Science, Applied Mathematics/Statistics, Data Science or equivalent preferred.

Amount of Travel Required

0%

Skills and Abilities

• 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.
• 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.
• Comfortable working in a collaborative, team-oriented environment.
• 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.

EEO Statement

We attract the best people in the industry, supporting their efforts to learn and grow. We strive to create a challenging and progressive work environment. We provide career opportunities that span a variety of disciplines and geographic locations, with projects that our employees plan, design, build and operate as diverse as the needs of our clients. Trinnex is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, pregnancy related conditions, childbirth and related medical conditions, sexual orientation, gender identity or gender expression), national origin, age, marital status, disability, veteran status, citizenship status, genetic information or any other characteristic protected by applicable law.

Background Check and Drug Testing Information

CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as “CDM Smith”) reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing.

Agency Disclaimer

All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Recruitment Center Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith and any resume submitted to any employee outside of CDM Smith Recruiting Center Team (RCT) will be considered property of CDM Smith. CDM Smith will not be held liable to pay a placement fee.

Additional Compensation

All bonuses at CDM Smith are discretionary and may or may not apply to this position.

Business Unit

TRX

Group

TXP

Assignment Category

Fulltime-Regular

Employment Type

Regular

Visa Sponsorship Available

No - We will not support sponsorship, i.e. H-1B or TN Visas for this position