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# Technical Lead ML Engineer

- **Company:** Federal Advisory Partners
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Cloud Computing, Continuous Integration, Distributed Systems, Apache Hadoop, Machine Learning, Natural Language Processing, Systems Integration, Unstructured Data, Explainable AI (XAI), Google Cloud, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Apache Spark, Generative AI, Kubernetes, Enterprise Integration, Apache Kafka, Data Management, Machine Learning Operations, Data Pipelines, Devsecops, Docker
- **Published:** October 5, 2026
- **Apply:** https://diversityjobs.com/career/18542322/Technical-Lead-Ml-Engineer

## About the Role

* Experience with cloud platforms including AWS, Azure, or Google Cloud Platform
 * Experience with MLOps, 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, * 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)

## Description

We are seeking a highly skilled AI/ML Engineer Technology Lead to 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., 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