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Augury

HQ
New York
Total Offices: 3
203 Total Employees
81 Product + Tech Employees
Year Founded: 2011

Augury Offices

Augury is headquartered in New York and has 3 office locations.

Remote Workplace

Employees work remotely.


U.S. Office Locations

Global Office Locations

HQ

New York

1178 Broadway, 3rd Floor #169, New York, NY, United States, 10001

Haifa

Haifa, Israel

39 Haatzmaut Street, 1st Floor, Haifa, Israel, 33033-20

Tel Aviv-Yafo

Tel Aviv, Israel

Tuval St. 40, Ramat Gan, FL 40 , Tel Aviv-Yafo, Israel

Recently posted jobs

7 Hours AgoSaved
Easy Apply
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
Easy Apply
Artificial Intelligence • Hardware • Internet of Things • Machine Learning • Software • Manufacturing
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.
3 Days AgoSaved
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Remote
Haifa, ISR
Easy Apply
Artificial Intelligence • Hardware • Internet of Things • Machine Learning • Software • Manufacturing
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.
3 Days AgoSaved
Easy Apply
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
Easy Apply
Artificial Intelligence • Hardware • Internet of Things • Machine Learning • Software • Manufacturing
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.