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Build and maintain GRIPS, Allianz’s core financial-risk platform, by developing Python and PL/SQL services, ETL pipelines, and APIs that turn market data into reliable investment insights for risk managers and portfolio teams.
Build and maintain real-time telemetry pipelines that ingest, process, and store satellite data for ICEYE's SAR constellation, ensuring mission-critical operations run without gaps.
Build and scale the cloud platform (Enernet) that monitors 1,000+ battery energy storage systems, handling high-throughput telemetry via Kafka, TimescaleDB, and AWS IoT Core while optimizing cost, latency, and reliability.
Lead AI/ML initiatives at J.P. Morgan, applying advanced machine learning to problems like NLP, speech analytics, and reinforcement learning.
Build and deploy production-grade AI agents on the DevRev platform, integrating with enterprise systems and proving measurable business impact through hands-on technical delivery.
WHAT WE DO MATTERS: At The Knot Worldwide, we champion celebration - and that starts with celebrating our people. Our employees are passionate dreamers, thoughtful doers, and lifelong learners who power meaningful…
Build and scale high-volume data pipelines for an industrial IoT platform on AWS, using Spark/Flink, Kinesis, Databricks, and FastAPI to deliver real-time and batch analytics.
Build full-stack identity platforms with AI-powered fraud detection and authentication flows using React, Python/Node.js, and cloud-native tools.
Principal Engineer leading data-science strategy and ML solutions for energy-tech products, guiding teams through design reviews and patent processes.
Build and own the data stack: extract, ELT, and enrich data from PDFs and CAD files using LLM & OCR pipelines, then normalize and enrich with external signals.
Design and maintain high-volume IoT data pipelines on AWS, combining real-time and batch processing with Spark/Flink, and expose analytics-ready APIs in Python.
Build and deploy Trusted AI solutions for defense and critical systems, focusing on robust, secure, and scalable data pipelines and models in production environments.
Lead data projects for an industrial group, designing architectures for time-series data, APIs, and future AI initiatives to optimize energy infrastructure performance.
Build and automate data pipelines for deep-learning time-series models, including dataset generation, performance analysis, and Docker-based workflows using Python, MATLAB, and C++.
Designs real-time data pipelines and dashboards for IoT security systems using Python, SQL, Kafka, MQTT, and time-series databases.
Build IoT data pipelines: design real-time data architectures, implement MQTT/Kafka brokers, optimize time-series storage, and create monitoring dashboards.
Build and maintain scalable data pipelines and analytics infrastructure for a global FX trading platform, using Python, SQL, and time-series databases like KDB.
Build and secure cloud-native AI/ML pipelines on AWS for an aerospace group’s data factory, automating CI/CD, enforcing DevSecOps, and operating Kubernetes clusters.
Build and secure cloud-native AI/ML pipelines on AWS: set up GitLab CI/CD, enforce DevSecOps practices, and operate Kubernetes clusters for data and model services.
Build and maintain SaaS web apps that embed analytics and AI (ML, generative, agents) on AWS, collaborating with data scientists and cloud engineers.
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