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Build and deploy AI solutions (LLMs, RAG, ML) to improve customer support and service operations, translating business needs into robust, explainable models and driving adoption across teams.
Build and maintain data pipelines, dashboards, and predictive models to optimize the performance of Rexel’s eCommerce site using Qlik, Python, and web analytics tools.
Build and maintain data pipelines, dashboards, and predictive models to optimize Rexel’s eCommerce site performance, using Qlik, Python, and web analytics tools.
Build end-to-end data pipelines and cloud-native analytics platforms for finance and consulting clients, using AWS/Azure/GCP, Python, Spark, and MLOps tooling.
Build end-to-end data pipelines and cloud-native ETL systems for clients, using serverless functions, DevOps, and MLOps to extract, transform, and serve data via data lakes, warehouses, and APIs.
Build and maintain cloud-based data platforms (datalakes, ETL pipelines) for enterprise clients, using AWS/GCP/Azure, Python, Airflow, and DevOps tools.
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform, optimize BigQuery warehouses, and automate data workflows with Python, SQL, and Terraform for real-time analytics and business insights.
Builds data pipelines and predictive models for EV-charging infrastructure in collective housing, analyzing consumption patterns and optimizing grid impact using Python, Spark, and PostgreSQL.
Design scalable data architectures and MLOps pipelines, industrialize ML models, and ensure data quality for enterprise AI projects in cloud environments.
Senior Data Engineer building scalable data pipelines and Lakehouse architectures on Databricks and AWS, using Spark, Python, and ML tools to deliver end-to-end data solutions for enterprise clients.
Build and deploy data pipelines, models, and dashboards for insurance clients using Python, SQL, and cloud tools to turn raw data into actionable insights and AI use cases.
Build and automate CI/CD pipelines, deploy full-stack applications, and maintain cloud-based data/ML platforms for satellite operations and industrialization at a space systems leader.
Build a high-performance image-processing platform for semiconductor metrology using Python, NumPy, and scikit-image, with optional C++ for performance-critical components.
Develop and maintain the Corese Java library for AI data interoperability, optimizing performance and integrating with semantic-web standards and research workflows.
Builds NLP models in Python to extract and reconcile financial data from documents using OCR, fuzzy matching, and LLMs, then deploys them as REST APIs on Azure.
Build and maintain data pipelines feeding real-time energy, weather, and asset data into predictive models for trading strategies across European electricity markets.
Build ML models to automate revenue for vacation rental owners on Booking.com and Airbnb using private API and competitive pricing data.
Design and deploy enterprise-scale AI solutions using LLMs, RAG, and Agentic AI to improve reporting, forecasting, and business intelligence in a hybrid London role.
Build and maintain ETL/ELT pipelines and Snowflake data warehouse, using dbt and Python to enable self-service analytics for a fintech SME lender.
Build and deploy classical ML models (regression, classification, clustering) in Python to solve manufacturing, asset-downtime, churn, and geospatial problems for private-equity clients.
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