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Lead the design and deployment of AI/ML models for document understanding, using NLP and computer vision to automate contract analysis and improve customer experiences on Docusign’s platform.
Leads high-fidelity robotics simulations, focusing on sensor and mechanical modeling, and AI data workflows to validate real-world robotic performance.
Senior AI Engineer builds production-grade AI agent systems, designs agentic workflows, and deploys Python-based services using FastAPI, vector search, and Kubernetes.
Principal Data Engineer builds and leads CarTrawler’s data platform using Snowflake, dbt, Airflow and Python/SQL to power analytics, AI and travel products.
Design and maintain scalable data pipelines and architectures to support Google’s advertising solutions, enabling data-driven decision-making for SMBs.
Principal Data Engineer designs and owns Databricks-based data pipelines and architecture for specialty insurance analytics, ensuring reliability, cost efficiency, and compliance in a regulated environment.
Build and deploy production-grade machine learning systems for ad-targeting and analytics using Databricks, MLFlow, and cloud infrastructure.
Principal Sales Engineer driving enterprise AI assurance sales in EMEA, translating complex AI compliance needs into technical solutions and guiding GSIs and clients through regulated deployments.
Build and refine AI agents to automate IT operations at Docusign, integrating platforms like ServiceNow and Slack with Python scripts and REST APIs.
Senior embedded engineer building storage drivers and filesystems for Qualcomm SoCs, working on UFS/NVMe/eMMC and Linux kernel components to optimize performance and power for mobile and embedded markets.
Build and operate enterprise-scale infrastructure platforms for JPMorgan Chase in Dublin, writing production code and leveraging AI-native practices to automate workflows and reduce operational toil.
Build and deploy AI-powered agents using LLMs to automate document validation for life-sciences companies, working with C#/.Net, Python, and cloud-native stacks.
Lead architecture and hands-on development for cross-platform client apps (mobile, web, TV, automotive) using modern stacks like Swift, Kotlin, TypeScript, and React Native.
Build and operate Genesys Cloud’s AI-powered analytics platform, designing scalable services for real-time event processing, storage, and querying using Java, Kafka, Druid/Flink, and AWS.
Builds and maintains MongoDB Atlas observability tools that collect metrics, monitor queries, and suggest optimizations to improve database performance and reliability.
Lead a team building scalable data pipelines and warehousing on AWS for HR analytics, using PySpark, Kafka, and Terraform to integrate disparate systems and deliver business intelligence.
Build and lead features for MongoDB Atlas, a globally distributed database-as-a-service running on AWS, Azure, and GCP.
Lead architecture and development of cross-platform client apps (mobile, web, TV, automotive) for Dolby’s media experiences, shaping technical standards and performance across teams.
Build and apply generative-AI tools to modernize legacy enterprise apps for MongoDB customers, then feed insights back to R&D to shape the product roadmap.
Builds scalable platforms for fixed income and derivatives trading using C++, Python, and Java, collaborating with quants and product teams to deliver analytics tools for institutional clients.
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