Teams at Conviva

Develop, train, evaluate, debug, and improve machine learning models for real-world applications. Own the ML lifecycle from dataset construction and experimentation through deployment, while applying deep learning, reinforcement learning, and LLM techniques. Collaborate with engineering and product teams, contribute to scalable ML infrastructure and tooling, define evaluation metrics, analyze errors, and translate research concepts into practical solutions.

Design and build high-scale distributed systems, Rust-based microservices, streaming pipelines, analytical storage, and real-time analytics services. Own backend components from design through production, improve throughput and query performance, diagnose infrastructure bottlenecks, ensure reliability under failures, contribute to architecture reviews, and mentor engineers.

Leads security operations, threat detection, incident response, digital forensics, security automation, and cloud security across multi-cloud and hybrid environments. Designs SIEM/SOAR detections and response playbooks, conducts threat hunting, manages high-severity incidents, integrates security into CI/CD and infrastructure-as-code pipelines, and oversees vulnerability management. The role also guides SOC analysts, supports compliance with ISO 27001, SOC 2, and GDPR, and reports security metrics to leadership.