4 дня назад
AWS Cloud DevOps Engineer (AI/ML)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AWS Cloud DevOps Engineer (AI/ML): Architecting, deploying, and supporting scalable machine learning infrastructure and production systems for enterprise GenAI capabilities with an accent on AWS, Terraform, automation, and model observability. Focus on building ML deployment and monitoring pipelines, converting offline models into production services, and ensuring CI/CD, auditability, versioning, security, and reliability.
Location: London, United Kingdom; hybrid work required
Company
develops organizational technology and AI capabilities through collaborative, enterprise-focused teams.
What you will do
- Design ML deployment, monitoring pipelines, and engineering infrastructure for enterprise machine learning systems at scale.
- Convert data scientists’ offline models into reliable production machine learning systems.
- Develop and deploy scalable tools and services for machine learning training and inference.
- Evaluate technologies that improve the performance, maintainability, and reliability of machine learning systems.
- Apply software engineering practices including CI/CD, automation, auditability, versioning, and data security.
- Communicate with clients to define requirements, track progress, and facilitate proof-of-concept ML system delivery.
Requirements
- 5–8 years of experience in cloud application development or administration, including at least 4 years with AWS and infrastructure as code.
- Experience building end-to-end platform or ML DevOps systems using AWS SageMaker or similar tools.
- Hands-on experience with Terraform, Jenkins, GitLab, Docker, Kubernetes, shell scripting, logging, monitoring, observability, and infrastructure configuration.
- Knowledge of Chef, Python, Go, cloud networking, and essential security principles and processes.
- Strong analytical, organizational, communication, and interpersonal skills, with the ability to analyze escalations, prioritize work, and track blockers.
- Ability to work effectively with remote and multicultural colleagues in a collaborative environment.
Nice to have
- AWS Development, AWS Architect, Terraform, Chef, or another cloud-related certification.
- Understanding of AI, machine learning, and Generative AI.
Culture & Benefits
- Hybrid work with in-person meetings for learning and collaboration as needed.
- Collaborative environment focused on continuous learning and creativity.
- Inclusive workplace that values diverse perspectives and supports employees in bringing their best work.
Hiring process
- Applications may be reviewed with AI-based recruiting tools, with all employment decisions subject to human review.
- Accurate and honest information is required throughout the recruiting process.
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