3 days ago
Prague, CzechiaSenior
Responsibilities
- Write, review, and debug code, scripts, and infrastructure-as-code for AI infrastructure, automation, and tooling.
- Architect, configure, 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, and applications.
- Deploy AI systems, models, and data pipelines into production and establish repeatable engineering 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 contribute to the infrastructure roadmap.
- Integrate AI models and systems into enterprise systems while addressing interoperability, security, and regulatory compliance.
- Own AI monitoring and infrastructure health across InfraOps and MLOps and drive remediation of issues.
- Troubleshoot complex problems 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, and procedures.
Requirements
- Bachelor's degree in computer science, computer engineering, or a related engineering field.
- 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 AI and machine learning.
- Strong understanding of computing infrastructure, preferably including AI infrastructure.
- Proficiency in programming languages such as Python, Java, or C++.
- Experience with data pipeline and workflow management tools such as Apache Airflow and Kubeflow.
- Experience in AI/ML infrastructure engineering or related roles on a hyperscaler platform for deploying large-scale solutions.
- Strong problem-solving skills and 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.