cloud engineer for ML platforms

Boehringer Ingelheim; Greater London; Sur place; GBP 80 000 - 120 000; Plein temps

Résumé du poste

Компания Boehringer Ingelheim ищет специалиста по облачной инфраструктуре для проектирования и поддержки AWS-решений под ML/AI задачи. Вы будете работать над SageMaker, IAM, сетями и хранением данных, настраивать IaC и обеспечивать соответствие требованиям безопасности и корпоративной архитектуре.

Основные обязанности включают мониторинг производительности, планирование ресурсов, внедрение MLOps-процессов и поддержку интеграций с Databricks, MLflow, Jenkins и OpenShift.

Qualifications

• Опыт проектирования и поддержки облачной инфраструктуры в AWS.
• Глубокие знания SageMaker, IAM, сетей, хранилища и вычислительных сервисов.
• Опыт использования Infrastructure as Code и облачных автоматизаций.

Responsabilités

• Проектирование, сопровождение и повышение эффективности AWS‑инфраструктуры для задач ML/AI.
• Управление облачными средами через Infrastructure as Code с учётом архитектуры и безопасности.
• Мониторинг производительности, доступности и безопасности, решение оперативных задач.
• Планирование ресурсов: CPU, GPU, хранение, сеть; обеспечение баланса между потребностями и стоимостью.
• Разработка конвейеров MLOps, трекинг экспериментов, реестры моделей и развертывание моделей.

Connaissances

Cloud architecture

Stakeholder communication

Cross-functional collaboration

Formation

Degree in Information Technology or Computer Science

Outils

SageMaker

IAM

Networking

Storage

Compute services

Container technologies

Databricks

MLflow

Jenkins

Bitbucket

OpenShift

Description du poste

Описание

Boehringer Ingelheim is a biopharmaceutical company active in human and animal health. It develops innovative therapies aimed at improving and extending lives in areas of high unmet medical need.

Задачи

• Design, maintain and continuously improve AWS-based infrastructure supporting machine learning workloads, including SageMaker, networking, IAM, storage, compute resources and model endpoints
• Manage cloud environments through Infrastructure as Code while ensuring consistency, scalability and compliance with enterprise architecture, security and governance standards
• Monitor platform performance, availability, security findings and resource utilization, proactively identifying and resolving operational issues
• Plan and manage cloud capacity, including CPU, GPU, storage and networking resources, balancing business needs, platform performance and cost efficiency
• Build and support infrastructure for MLOps processes, including CI/CD pipelines, experiment tracking, model registries, automated workflows and model deployment
• Develop reusable automation and platform capabilities that simplify onboarding, reduce manual work and improve the user experience for researchers and ML teams
• Enable and maintain integrations between AWS services and supporting technologies such as Databricks, MLflow, Jenkins, Bitbucket, OpenShift and related platforms
• Act as the primary technical contact for stakeholders, translating business and research requirements into effective cloud and platform solutions
• Create and maintain technical documentation, support onboarding activities and contribute to the evaluation of new cloud and MLOps technologies

Требования

• Hands-on experience designing, implementing and supporting cloud infrastructure in AWS environments
• Strong knowledge of AWS services including SageMaker, IAM, networking, storage, compute services and container technologies
• Experience with Infrastructure as Code and cloud automation practices
• Understanding of cloud security, governance, compliance and access management principles
• Experience supporting machine learning, data science or MLOps platforms
• Knowledge of CI/CD practices and tools used for software and machine learning delivery
• Experience working with technologies such as Databricks, MLflow, Jenkins, Bitbucket, OpenShift or comparable platforms
• Ability to troubleshoot complex technical issues and continuously improve platform reliability, performance and efficiency
• Strong stakeholder management and communication skills, with the ability to work effectively across international and cross-functional teams
• Degree or equivalent qualification in Information Technology, Computer Science or a related field

Условия

Hybrid role with approximately 3 days a week in the office.