AI Infrastructure Architecture Analyst | Early Career | Full time
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Software Engineering · Data Science
In short
As an early-career Infrastructure Architect, you will gain hands-on experience with AI and machine learning infrastructure, developing skills in coding, testing, configuration, deployment, and monitoring. This role involves contributing to the infrastructure that powers real-world applications under the guidance of senior engineers.
Responsibilities
- Write, test, and debug code and scripts for AI infrastructure tasks.
- Develop and maintain infrastructure and software deployment scripts.
- Configure and provision compute resources including GPU clusters.
- Deploy AI systems and machine learning models into production.
- Deploy data pipelines that feed AI and ML workflows.
- Assist with container orchestration and model serving.
- Support and maintain CI/CD pipelines.
- Monitor AI systems and infrastructure health.
- Perform AI monitoring to track model performance and detect drift.
- Troubleshoot issues across the computational stack.
- Document configurations, processes, and procedures.
- Collaborate with senior architects and engineers.
- Apply security, cost-efficiency, and scalability best practices.
Requirements
- Proven experience with AI/ML or Computer Engineering or Computer Science.
- Experience in coding, building, monitoring, troubleshooting AI/ML models and their infrastructure.
- Strong understanding of AI and machine learning.
- Strong understanding of computing infrastructure, with preferred knowledge of AI infrastructure.
- Proficiency in programming languages such as Python, Java, or C++.
Desired Qualifications
- Bachelor's Degree in Computer Science, Computer Engineering, or a related Engineering field.
- Experience deploying and running AI/ML models on-premise or on public cloud.
Benefits
- Opportunities to keep skills relevant through certifications, learning, and diverse work experiences.
- Work at the heart of change with a global team.
- Inclusive and diverse environment where everyone feels a sense of belonging.
- Support for people’s physical, mental, and financial health.
#AI#Machine Learning#Infrastructure#Cloud#On-Premises#DevOps#MLOps#GPU
Company
Accenture
Job Posted
1 month ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Entry
Locations
Abu Dhabi, United Arab Emirates
Qualification
Bachelor
Applicants
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