Senior AI Platform Engineer

🕒 Junho 24

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $142.900 - $207.200 / ano

⏰ Tempo Integral

🟠 Sênior

🏗️ Engenheiro de Plataforma

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Expel

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2016

🔒 Cibersegurança

☁️ SaaS

Cybersecurity • SaaS • Technology

A Expel é uma empresa líder em cibersegurança especializada em serviços de Detecção e Resposta Gerenciadas (MDR). Eles oferecem uma variedade de soluções, incluindo investigação de phishing, caça a ameaças e priorização de vulnerabilidades, adaptadas para organizações de todos os tamanhos com proteção 24x7. A Plataforma de Operações de Segurança da Expel, Expel Workbench™, integra-se com a tecnologia existente para aprimorar as operações de segurança. Sua equipe de especialistas e tecnologia avançada ajudam a reduzir o ruído de alertas, responder rapidamente a incidentes e melhorar a postura geral de segurança, permitindo que as organizações se concentrem em suas atividades principais sem se preocupar com ameaças de cibersegurança.

Descrição

• Architect and maintain end-to-end machine learning training pipelines on AWS (SageMaker, EKS, Step Functions) to ensure reliable and reproducible model development and deployment • Build and maintain infrastructure for production agentic applications using Amazon Bedrock and Bedrock AgentCore — including agent runtimes, memory, secure gateways, and observability at scale • Contribute to the architectural evolution of our ML platform, including evaluating MLOps tooling and participating in buy vs. build decisions • Implement AI/ML governance best practices for model versioning, testing, validation, maintenance, and security • Integrate MLOps best practices with Expel's SDLC, security, and infrastructure standards, working alongside SRE, Platform Engineering, and Security teams • Drive quality, reliability, and scalability improvements through thoughtful engineering and monitoring • Partner with data scientists, software engineers, and stakeholders to operationalize ML models reliably and at scale • Mentor and support junior engineers; foster a culture of engineering excellence • Create and maintain documentation, internal tooling, and enablement resources so practitioners across Expel can work effectively with ML systems • Stay current with the MLOps landscape and bring relevant innovations back to the team

🎯 Requisitos

• 5+ years of relevant software engineering experience with meaningful focus on ML operations and infrastructure • Degree in Computer Science, Mathematics, Statistics, Engineering, or a related technical field preferred (or a compelling story) • Strong Python proficiency; familiarity with other languages (Go, JS) is a plus • Solid experience with CI/CD pipelines, infrastructure-as-code, and containerization for ML workloads • Hands-on experience with cloud-based ML platforms — AWS (SageMaker, Bedrock, Bedrock AgentCore) strongly preferred; GCP (Vertex AI) experience also valued • Proven experience operationalizing LLMs and building infrastructure for complex agentic applications — agent orchestration, memory, tool calling, RAG architectures • Familiarity with ML frameworks including Scikit-Learn, PyTorch, Spark, and TensorFlow • Working knowledge of continuous retraining, concept drift monitoring, and data drift detection in production

🏖️ Benefícios

• Offer unlimited PTO (that leadership models and encourages) • Up to 24 weeks of parental leave • Really excellent health benefits • Pay you a monthly fitness and cell phone stipends — no receipts required • Support your professional growth with a conference benefit and continuous learning opportunities • Offer full remote flexibility — work from wherever you do your best work