Technical Lead ML Engineer at Tria Federal

Job description

Who we are: Tria Federal delivers digital services and technology solutions that support the health and safety of veterans, service members and civilians. For two decades, federal agencies have relied on Tria companies to advance their critical missions and modernize their systems, so that they can uphold their commitment to the American people. Today, we are pushing the boundaries of possibility through partnerships and investments in artificial intelligence and emerging technologies, developing solutions for the biggest challenges that government will face tomorrow. We are proud to employ and support military veterans who bring mission-first mindset, technical expertise, and leadership qualities that strengthen our work. Veterans, transitioning service members, and military spouses are strongly encouraged to apply. We are seeking a highly skilled AI/ML Engineer Technology Lead to lead the design, development, and deployment of advanced Artificial Intelligence and Machine Learning solutions supporting mission-critical enterprise initiatives. This role serves as the technical lead for enterprise AI/ML efforts, responsible for building, growing, and guiding a team of AI/ML engineering and practitioners. This individual collaborates with customer technical leadership to define and realize their AI/ML roadmap and is expected to bring both deep technical expertise and the business acumen necessary to develop strategy, manage stakeholder relationships, and scale a high-performing team. This individual will help transform AI/ML prototypes into scalable, secure, production-ready enterprise solutions while mentoring technical teams and collaborating with customer leadership. Responsibilities – AI/ML Technical Leadership Technical Leadership & Strategy: Serve as the primary point of contact (POC) for all AI/ML-related technical matters with customers and stakeholders Lead the design, development, testing, deployment, and productization of AI/ML technologies supporting mission-critical objectives Develop and communicate AI/ML strategies and technical roadmaps aligned with customer and mission requirements Advise leadership on emerging AI/ML technologies, research areas, and industry advancements Represent AI/ML capabilities during customer engagements, briefings, demonstrations, and technical reviews Provide technical leadership, mentorship, and guidance to AI/ML engineering teams Support workforce planning, staffing strategy, hiring, and professional development initiatives AI/ML Engineering & Development: Design, develop, and optimize scalable machine learning and deep learning models for structured and unstructured data Transform research prototypes into secure, scalable, production-ready enterprise solutions Support NLP, predictive analytics, anomaly detection, computer vision, and generative AI initiatives Evaluate and productize AI/ML models across commercial and government cloud architectures Integrate AI/ML solutions across enterprise systems, data platforms, and operational environments Ensure AI/ML solutions meet performance, scalability, reliability, and operational requirements Cloud, MLOps & Enterprise Integration: Develop production-grade AI/ML pipelines, CI/CD workflows, and MLOps capabilities Provide system integration oversight across AI/ML pipelines and enterprise platforms Collaborate with software engineers, cloud architects, cybersecurity teams, and customer stakeholders Support deployment and optimization of AI/ML solutions across cloud-native and distributed environments Evaluate emerging technologies and align technical solutions with operational and enterprise objectives Experience with cloud platforms including AWS, Azure, or Google Cloud Platform Experience with ML Ops, CI/CD pipelines, Docker, Kubernetes, and distributed systems Strong understanding of data pipelines, model lifecycle management, and scalable AI architectures Experience operating within Agile or DevSecOps environments Excellent communication and stakeholder engagement skills Preferred Qualifications: Experience supporting Intelligence Community (IC), Department of Veterans Affairs (VA), DoD, or federal government programs Experience with Large Language Models (LLMs), Generative AI, RAG architectures, and vector databases Familiarity with AI governance, explainable AI (XAI), and responsible AI practices Experience with Spark, Kafka, Hadoop, or GPU-enabled distributed computing platforms Active/current TS/SCI security clearance (Nice to have) Why Tria? What defines the Tria brand is more than just our dedication to excellence in our craft; it’s our incredible team of dedicated, talented, and passionate people that make Tria so exceptional. As people powering possible, we are all partners in our team’s shared success. As a company that cares about people, we seek to cultivate a culture in which all can thrive personally and professionally. We offer a top-tier benefits package to invest in your physical, mental, and financial health and wellness so that you can be your best self - at work and in life. At Tria, we are growth-minded, entrepreneurial in spirit, and committed to fostering a culture of inclusion and opportunity for all. Whatever your background, your role, your department, or stage in your professional journey, here you will have opportunities to learn new skills, seize new challenges, and advance your career as we grow. California Consumer Privacy Act (CCPA) We are committed to protecting your privacy. As part of our compliance with the California Consumer Privacy Act (CCPA), we want to inform you about how we collect, use, and protect your personal information during the job application process. For more details, please review oag.ca.gov .

Requirements

Must-haves

Serve as the primary point of contact (POC) for all AI/ML-related technical matters with customers and stakeholders
Lead the design, development, testing, deployment, and productization of AI/ML technologies supporting mission-critical objectives
Develop and communicate AI/ML strategies and technical roadmaps aligned with customer and mission requirements
Advise leadership on emerging AI/ML technologies, research areas, and industry advancements
Represent AI/ML capabilities during customer engagements, briefings, demonstrations, and technical reviews
Provide technical leadership, mentorship, and guidance to AI/ML engineering teams
Support workforce planning, staffing strategy, hiring, and professional development initiatives
Design, develop, and optimize scalable machine learning and deep learning models for structured and unstructured data
Transform research prototypes into secure, scalable, production-ready enterprise solutions
Support NLP, predictive analytics, anomaly detection, computer vision, and generative AI initiatives
Evaluate and productize AI/ML models across commercial and government cloud architectures
Integrate AI/ML solutions across enterprise systems, data platforms, and operational environments
Ensure AI/ML solutions meet performance, scalability, reliability, and operational requirements
Develop production-grade AI/ML pipelines, CI/CD workflows, and MLOps capabilities
Provide system integration oversight across AI/ML pipelines and enterprise platforms
Collaborate with software engineers, cloud architects, cybersecurity teams, and customer stakeholders
Support deployment and optimization of AI/ML solutions across cloud-native and distributed environments
Evaluate emerging technologies and align technical solutions with operational and enterprise objectives

Nice-to-haves

Experience supporting Intelligence Community (IC), Department of Veterans Affairs (VA), DoD, or federal government programs
Experience with Large Language Models (LLMs), Generative AI, RAG architectures, and vector databases
Familiarity with AI governance, explainable AI (XAI), and responsible AI practices
Experience with Spark, Kafka, Hadoop, or GPU-enabled distributed computing platforms
Active/current TS/SCI security clearance (Nice to have)
California Consumer Privacy Act (CCPA)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learningci/cdawsazuredockerkubernetesagile

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Vision

Wellness

Professional Development