Augury Offices

Lead and grow a ~5-person Data Platform team in India, owning architecture, roadmaps, and building scalable, production-grade data services and pipelines (streaming and batch) for digital twins and AI agents. Drive data modeling, observability, reliability, incremental and idempotent pipelines, and cross-functional collaboration while hiring, mentoring, and setting engineering standards.

Design, build, and operate production-grade MLOps platform capabilities across the ML lifecycle: data, features, training, deployment, monitoring, retraining, lineage, and evaluation. Implement experiment tracking, artifact management, orchestration, and observability for large-scale training and operational AI systems (including LLM/agentic systems). Deliver reusable platform tooling, CI/CD, testing standards, and production reliability to scale Industrial AI applications.

Build production-grade data services and pipelines for an industrial data intelligence platform. Design streaming-first, lakehouse-based architectures, reliable incremental pipelines, context and relationship models, Python services, and SQL data models. Ensure observability, automated testing, debugging, and collaboration with AI, product, and platform teams to support Digital Twin, analytics, and AI agent experiences.