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Logistics
As a Senior AI Engineer, you'll design and deploy AI systems, own AI pipelines, and integrate LLMs into workflows, significantly impacting product direction.
Logistics
Lead strategy and delivery for DevOps, MLOps, and security engineering. Own CI/CD, IaC, container orchestration, AI infrastructure (GPU/TPU, model serving, registries), and cloud security across AWS/GCP. Manage a cross-functional team, define security policies, track KPIs, and drive incident response and automation to balance speed with compliance.
Logistics
Develop innovative AI solutions, train and optimize machine learning models, and build backend systems for real-world production at scale. Proficiency in Python and familiarity with ML frameworks is required.
Logistics
Lead integration of security into DevOps pipelines: implement automated security testing, perform threat modeling, enforce secure configurations, develop incident response, and promote security awareness while collaborating with engineering and operations teams to secure cloud-native applications and infrastructure.
Logistics
Serve as the technical face and trusted advisor for customers, designing platform configurations, delivering training, leading technical discovery and escalations, and advocating customer needs to Product and Engineering to drive adoption and expansion.
Logistics
As an AI Architect, you will lead AI strategy, design and implement AI systems, oversee model evaluation, and ensure data ethics, driving innovation in a collaborative environment.



