2 months ago
Dublin, IrelandSenior
Responsibilities
- Write, review, and debug code, scripts, and infrastructure-as-code for AI infrastructure, automation, and tooling.
- Architect and provision cloud and on-premises compute resources, including GPU clusters and distributed training environments.
- Design and maintain deployment automation and release pipelines for AI systems, models, applications, and data pipelines.
- Deploy AI systems and models into production and define repeatable engineering processes and best practices.
- Lead container orchestration and model serving using Docker, Kubernetes, and model deployment frameworks.
- Optimize computational infrastructure for performance, power, cost, utilization, and scalability.
- Evaluate tools, frameworks, and platforms and provide recommendations for the infrastructure roadmap.
- Integrate AI models and systems with enterprise systems while addressing interoperability, security, and regulatory compliance.
- Own AI monitoring and infrastructure health across InfraOps and MLOps, driving remediation for performance and reliability issues.
- Troubleshoot complex issues across hardware, networking, software, and models and lead root-cause analysis.
- Mentor junior engineers, lead code reviews, and provide technical direction.
- Define and document architecture standards, processes, procedures, and infrastructure best practices.
Requirements
- Bachelor's degree in computer science, computer engineering, or a related engineering field.
- Practical experience coding, building, monitoring, and troubleshooting applications of AI/ML models and designing infrastructure to deploy and run them on premises or in public cloud environments.
- Strong understanding of artificial intelligence, machine learning, computing infrastructure, and preferably AI infrastructure.
- Proficiency in programming languages such as Python, Java, or C++.
- Experience with data pipeline and workflow management tools such as Apache Airflow or Kubeflow.
- Proven experience in AI/ML infrastructure engineering or related roles on a hyperscaler platform for deploying large-scale solutions.
- Strong problem-solving skills and the ability to work in a fast-paced environment.
- Excellent communication and collaboration skills.
Tech Stack
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.