Design and develop custom machine learning models for production to drive business decisions in fraud detection and customer engagement. Lead the statistical design of A/B tests and collaborate with MLOps to deploy and maintain real-time models.
IDT
11 Remote Job Openings at IDT
Drive the AI product roadmap for UContact and Unite platforms, focusing on native AI Agent capabilities and AI-powered communication tools. Translate complex AI capabilities into customer-facing value propositions and define success metrics for adoption and retention.
Design and maintain scalable data pipelines and architectures to power data warehouses, LLM-driven applications, and AI-based BI. Implement RAG workflows, vector data stores, and prompt engineering techniques to enable conversational interfaces and AI-backed insights.
Design, develop, and maintain scalable, mission-critical web services and APIs as part of a Scrum team. Manage the entire software development life cycle from business requirement analysis to deployment and monitoring.
You will design, implement, and manage infrastructure using Kubernetes, AWS, and Hashicorp tools while maintaining deployment pipelines. Additionally, you will collaborate with cross-functional teams to ensure system scalability, security, and reliability through automation and monitoring.
You will design and maintain secure, scalable data collection frameworks for mobile applications to detect fraud and ensure regulatory compliance. You will also collaborate with cross-functional teams including MLOps engineers and data scientists to enhance fraud detection systems.
The specialist will develop and execute multi-channel CRM campaigns across the customer lifecycle, managing the campaign calendar, creating assets, and ensuring timely launches. Additionally, this role involves managing the brand's participation in community events across the United States.
The role involves designing, developing, and maintaining reproducible, production-grade machine learning models to drive core business decisions. Key tasks include building behavioral forecasting models, developing uplift models for causal inference, and scaling next-best-action recommendation systems.
The Sales Executive will focus on bringing new enterprise Voice & SMS opportunities in the LATAM market and will create a healthy pipeline of opportunities. They will collaborate with the sales leadership team to determine effective sales strategies and transition converted opportunities to the account management team.
The ML Engineer will design, develop, and maintain scalable data pipelines and workflows for data ingestion, transformation, and delivery. They will also oversee vector data stores and develop methodologies to support retrieval-augmented generation workflows.
The Data Engineer will design, implement, and validate ETL/ELT data pipelines while maintaining documentation and testing for reliability. They will also partner with data stakeholders to gather requirements and create scalable solutions.
