Job Summary

• Design and implement scalable AI/ML infrastructure by aligning data warehouses, APIs, and downstream systems under a governed, scalable model that ensures seamless integration with existing systems while maintaining high performance and reliability standards.
• Optimize and maintain ML model performance through continuous fine-tuning of existing AI models for performance, accuracy, and scalability, implementing automated monitoring systems for model performance including drift detection, latency monitoring, and resource utilization tracking.
• Drive cross-functional collaboration by working closely with data engineers, product teams, and governance stakeholders to align model deployment with business requirements, translating technical capabilities into meaningful business outcomes that support workforce planning initiatives.

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Skills & Requirements

Key Requirements

• Proficiency in data engineering practices
• Experience building scalable data pipelines
• Experience managing large-scale data processing
• Experience with ML model monitoring
• Experience with automated retraining workflows
• Strong analytical and debugging skills
• Ability to work independently and in teams

Work Rights