AI/ML Engineer – Java Backend Integration
NQX
Mar 2024 - Current (2 years 8 months)
• Collaborated with data scientists and business analysts to understand CX-specific machine learning use cases such as sentiment analysis, churn prediction, call routing optimization, and customer segmentation.
• Develop, deploy, and maintain ML models for real-time or batch predictions integrated into backend systems using Java and Spring Boot.
• Build RESTful APIs and microservices to expose ML model outputs to customer facing applications like IVR, chatbots, CRM dashboards.
• Integrated AI models with data pipelines, databases with MongoDB, and event-driven architectures using tools like Kafka and RabbitMQ.
• Optimize ML model inference for performance and latency in production environments using caching, containeriza