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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # nTechnical Lead Manager (TLM), AI & Data Science - **Company:** XPO Logistics, Inc. - **Location:** United States - **Experience:** Expert - **Salary:** $155,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automated Storage and Retrieval Systems, Microsoft Azure, Continuous Integration, Monitoring of Systems, Python (Programming Language), Machine Learning, Routing, Tensorflow, Software Engineering, Systems Integration, Reinforcement Learning, Google Cloud, Enterprise Software Applications, Cloud Platform System, Pytorch, Large Language Models, Prompt Engineering, Generative AI, Containerization, Kubernetes, Information Technology, Data Management, Machine Learning Operations, Docker - **Published:** August 23, 2026 - **Apply:** https://jobs.military.com/career/317500/technical-lead-manager-tlm-ai-data-science-hybrid-massachusetts-ma-boston ## About the Role * Bachelor's degree or equivalent related work or military experience\n * 5 years of experience in Machine Learning Engineering, Applied AI, Data Science, or MLOps, including hands-on experience architecting and building production ML/AI systems\n * 2+ years of experience leading or acting as technical lead for a focused technical team\n * Demonstrated ability to review model designs and code, evaluate architecture and technical tradeoffs, and contribute code directly when needed\n * Strong technical foundation in end-to-end AI systems, such as:\n * Understanding data requirements (e.g. sources, volume, quality) for building AI/ML systems and products\n * Designing and implementing scalable MLOps pipelines (training, evaluation, CI/CD, deployment, monitoring, governance)\n * Building production-grade ML inference services and APIs (batch and real-time)\n * Developing and deploying Multimodal Generative AI solutions, including LLM-powered applications, RAG pipelines, and Agents\n * Proficiency in Python and modern ML frameworks (e.g., PyTorch)\n * Experience integrating AI systems with enterprise applications and data platforms\n * Strong communication skills, including experience running stakeholder updates, status reporting, and cross-team coordination\n, * Master's degree or PhD in Computer Science, Engineering, Data Science, or related field\n * Experience setting technical direction for applied AI or optimization projects (e.g., network/route optimization, demand forecasting, GenAI applications)\n * Hands-on experience with:\n * LLM application development, prompt engineering, evaluation frameworks, guardrails, and post-training (e.g. fine-tuning, reinforcement learning)\n * Vector databases and retrieval systems\n * Model monitoring, drift detection, and AI governance practices\n * Experience deploying AI solutions in cloud environments (AWS, Azure, GCP)\n * Familiarity with containerization and orchestration (Docker, Kubernetes)\n * Experience partnering with dependent software development teams to ship models into production\n * Strong business acumen with experience driving measurable ROI from AI initiatives\n ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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