MLOps Engineer with Azure
- Джерело:
- djinni.co
Що робити
- Model Monitoring & Management: Continuously monitoring model performance, identifying drift, and triggering retraining or recalibration processes.
- Infrastructure Management: Maintaining and scaling the infrastructure required to support AI workloadsб including cloud resources, servers and storage.
- Cost Optimization: Monitoring resource utilization, identifying inefficiencies and optimizing costs associated with AI infrastructure and operations.
- Security & Compliance: Implementing and enforcing data security policies and ensuring compliance with relevant regulations.
- Bias Detection & Mitigation: Analyzing models for bias and implementing techniques to mitigate it. Working with data science teams to ensure fairness and equity.
Що очікуємо
- Cloud Computing: Proficiency in cloud platforms: Azure, Tool: Foundry, OpenAI, PaaS Services, IaaS
- ServiceNow Tools: Experience with ServiceNow tools for Managing Service request and Incidents
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