The Senior ML Engineer will own and deliver predictive customer scoring solutions, including churn and propensity models, from requirements through to production monitoring. They will collaborate with cross-functional teams to build scalable, reliable, and maintainable machine learning capabilities within the data platform.
The Senior AI Engineer will own the AI layer, including retrieval, agents, and natural language interfaces over enterprise data. They will collaborate with cross-functional teams to deliver scalable, production-ready solutions while ensuring high quality through rigorous evaluation.
The Senior Kubernetes Engineer will own and deliver solutions for Kubernetes on client-owned infrastructure, including bare metal and private cloud environments. They will collaborate with cross-functional teams to design scalable, production-ready deployments and address operational risks.
The role involves owning and delivering telco CVM solutions, including technical design, implementation, and continuous improvement. You will collaborate with cross-functional teams to translate business requirements into scalable, reliable data-driven solutions.
The role involves owning and delivering end-to-end banking marketing solutions, from technical requirements to implementation and continuous improvement. You will collaborate with cross-functional teams to build scalable, reliable data capabilities while managing performance and operational risks.
The role involves owning and delivering banking data models from source systems to canonical entities while collaborating with engineering and business stakeholders. You will be responsible for ensuring scalable solutions, maintaining data quality, and addressing operational risks across the platform.
The role involves owning and delivering technical solutions for audience activation, data modeling, and performance measurement across digital and omnichannel platforms. You will collaborate with cross-functional teams to ensure scalable, reliable, and production-ready capabilities while addressing operational risks.
The role involves owning and delivering telco data models from source systems to canonical entities while ensuring scalability and performance. You will collaborate with cross-functional teams to translate business requirements into technical specifications and maintain high standards for data quality and architecture.
The Senior Technical Data Architect will own the end-to-end data platform architecture, including data storage, processing, and governance. They will collaborate with cross-functional teams to translate business requirements into scalable, reliable, and production-ready technical solutions.
The Senior Solution Architect will own the end-to-end technical design of applications, including services, APIs, and system integrations. They will guide engineering teams on design decisions and ensure solutions are scalable, reliable, and maintainable.
You will own the end-to-end solution architecture for a sovereign, telco-native Customer Data Platform, managing the entire stack from data ingestion to activation. You are responsible for defining architectural principles, ensuring system scalability, and translating complex requirements into actionable designs for engineering teams.
Design and operate high-volume analytical data systems end to end using Apache Spark. Build and maintain high-scale batch and near-real-time data pipelines on self-managed infrastructure.
Translate user needs and business requirements into intuitive, visually appealing, and user-friendly product designs. Collaborate with cross-functional teams to maintain design systems and iterate on designs based on user feedback and data insights.
Design and operate high-volume, low-latency real-time data systems using Apache Flink as the core engine. Build and maintain high-scale streaming data pipelines on self-managed on-premise infrastructure.
You will own end-to-end ML/AI systems, including data pipelines, model training, and serving infrastructure. Additionally, you will build and optimize LLM-powered applications, RAG pipelines, and multi-agent orchestration systems.
Build and maintain a multi-product portal with complex interactive visualizations and a comprehensive design system. Collaborate with cross-functional teams to implement high-performance interfaces and advanced frontend optimizations.
Design and build scalable backend services and microservices using Java and Spring Boot. Collaborate with cross-functional teams to integrate databases and deploy containerized applications.
You will own the quality and automation frameworks for a high-scale, low-latency streaming Customer Data Platform. This involves building end-to-end test suites, validating data pipelines, and ensuring performance and governance standards are met.
