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Leads AI/data engineering solutions on RBC’s hybrid multi-cloud platform, designing scalable pipelines, RAG systems, and agentic workflows to meet business objectives. Mentors teams and ensures robust, governed data products for financial AI applications.
Build and scale ML systems for generative AI, NLP, and time-series analysis in RBC’s fintech AI accelerator, owning end-to-end ML product development from data to deployment.
Data Engineer owning an Azure data platform for a climate tech hardware company, building real-time and batch pipelines with Event Hubs and Databricks to connect IoT telemetry data to business teams.
Designs AI-driven supply chain systems (inventory forecasting, procurement, logistics) using Python, ML, and optimization tools to optimize operations and deliver measurable ROI for a logistics-focused client.
Backend developer role in Bologna focused on modern C++ (C++17+) with Node.js/TypeScript or Python, building scalable REST APIs, event-driven services, and data pipelines using Docker, Kubernetes, and cloud platforms (AWS preferred).
At REGENT, we’re on a mission to revolutionize regional transportation between coastal cities. We're not just building vehicles, we're creating a new category of transportation: the Seaglider. These…
About Aaru Aaru builds simulations of human behavior. Each simulation contains a population of AI agents, each representing a person who could plausibly exist in the real world and capable of making decisions within a…
Senior Software Engineer at a multidisciplinary engineering consultancy building embedded, industrial, medical, IoT, cloud, and real-time systems software using C, C++, C#, Python, and Linux.
Build scalable cloud services in Go for a sports performance tech platform. Design, deploy, and maintain backend systems handling wearable data, video, and athlete analytics for global teams (NFL, NBA, etc.).
Builds and maintains scalable data pipelines for a mining systems platform, focusing on time-series data ingestion, analytics, and collaboration with cross-functional teams.
The Data Engineer will design and maintain scalable data pipelines and infrastructure for the LANDCROS Connect Insight platform. The role involves working with big time-series data using technologies like Snowflake, Python, and cloud-based data processing frameworks.
Builds and maintains a Python-based MLOps framework for deploying classical ML models, optimizing data storage/access, and ensuring smooth model transitions to production while collaborating with Data Scientists.
Senior Data Engineer designing and maintaining enterprise data pipelines and lakehouse architecture using Microsoft Fabric, Azure, SQL Server, and Oracle Cloud Infrastructure for a large dairy cooperative.
Senior Data Engineer (Metadata & Lineage Integration) Si desea conocer los requisitos para este puesto, siga leyendo para obtener toda la información relevante. Location: Remote from Spain (an indefinite Spanish…
Build and maintain analytical data products and ETL/ELT pipelines supporting investment workflows using Python, dbt, BigQuery, and Power BI on Google Cloud Platform.
This internship builds and maintains Python data pipelines to analyze historical quote data, develop AI models for pricing adjustments, and flag margin risks in a fintech quoting tool.
Junior developer in Singapore building, maintaining, and supporting trading systems and IT infrastructure alongside quant researchers and traders, using C++, Java, JavaScript, or Python.
The Senior Data Analyst will develop data strategies and analytical frameworks to optimize customer support technology and drive business strategy. The role involves using SQL, R, or Python to perform deep-dive analyses and communicate actionable insights to senior leadership.
Senior Data Analyst at Uber turning massive datasets into actionable insights for customer support technology strategy, using SQL, Python/R, statistical modeling, and data pipelines.
The Vice President of Data & Data Engineering will lead the firm's data strategy, architecture, and engineering team to build a modern platform for investment analytics and AI. This hands-on leadership role focuses on creating scalable data pipelines and governance frameworks to support portfolio management and decision-making.
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