AI Infrastructure Specialist
3 weeks ago
Role Overview: We are seeking a highly skilled AI Infrastructure Engineer to join our team and contribute to the development of cutting-edge AI infrastructure projects.
The ideal candidate will have a strong background in data engineering, machine learning, and cloud infrastructure, with experience in building and deploying data pipelines, implementing and maintaining machine learning models, and monitoring model performance.
Key Responsibilities- Data Pipeline Development: Design and implement robust data pipelines to integrate and manage data across siloed sources.
- Model Deployment: Implement and maintain machine learning models within Azure or Microsoft Fabric environments.
- Model Monitoring: Monitor and manage model performance and health.
- A/B Testing: Design and execute A/B tests to validate model performance.
- Programming: Proficiency in Python, SQL, and C#.
- Azure & Microsoft Fabric: Deep understanding of implementation and management in these environments.
- Programming Languages: Proficiency in Python, SQL, and C#.
- Large Language Models (LLM): Experience with LLMs is a plus.
- Data Engineering: Proven experience in data engineering practices.
- MLOps: Proficient in MLOps principles and practices.
- Competitive salary based on experience
- Hybrid working model with flexibility
- Opportunity to work on cutting-edge AI infrastructure projects
- Collaborative and innovative work environment
Note: Sponsorship is not available for this role.
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