Senior AI Platform Engineer

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $142 900 - $207 200 / an

⏰ Temps Plein

🟠 Senior

🏗️ Ingénieur Plateforme

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Expel

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2016

🔒 Cybersecurity

☁️ SaaS

Cybersecurity • SaaS • Technology

Expel est une entreprise leader en cybersécurité spécialisée dans les services de Détection et Réponse Gérée (Managed Detection and Response - MDR). Elle propose une gamme de solutions, incluant l'investigation sur le phishing, la chasse aux menaces et la priorisation des vulnérabilités, adaptées aux organisations de toutes tailles avec une protection 24/7. La plateforme d'opérations de sécurité d'Expel, Expel Workbench™, s'intègre avec les technologies existantes pour améliorer les opérations de sécurité. Leur équipe d'experts et leur technologie avancée aident à réduire le bruit des alertes, à répondre rapidement aux incidents, et à améliorer la posture de sécurité globale, permettant ainsi aux organisations de se concentrer sur leurs activités principales sans se soucier des menaces de cybersécurité.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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