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Build and optimize data pipelines, analyze business needs, and deliver visualizations using Dataiku, Python, and Spark to drive AI-driven solutions for clients in finance, healthcare, mobility, and climate sectors.
Builds automated data pipelines and time-series processing for deep-learning systems using Python, Linux, and C++.
Senior Data Engineer builds and maintains data pipelines and cloud-based data solutions, focusing on data collection, processing, and AI deployment for strategic client projects.
Build and maintain AWS-based data pipelines and lakehouse architecture for a large bank’s AI and ESG initiatives, using PySpark, Java, and CI/CD.
Build and maintain cloud-based data platforms (datalakes, ETL pipelines) for enterprise clients, using AWS/GCP/Azure, Python, Airflow, and DevOps tools.
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++.
Build and maintain data pipelines, integrate LLM APIs, and implement RAG workflows for a loyalty and engagement platform using Python, SQL, and Talend.
Designs and builds end-to-end AI solutions, from use-case discovery to production deployment, using ML/DL and industrialization best practices.
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.
Build and maintain the data infrastructure that feeds AI imaging models, collaborating with scientists to train and deploy computer-vision systems for satellite and video data.
Build and expand cloud-based data platforms using Databricks, Azure, and Python to deliver BI, AI, and data engineering solutions for enterprise clients.
Build and expand cloud-based data platforms on Databricks and Azure for clients, integrating BI, AI, and data engineering pipelines using Python and DevOps.
Build data pipelines and interactive tools to automate analyses for drug discovery, using Python/Java/Scala/C++ and cloud platforms like AWS/GCP.
Build and maintain the data stack for AI teams that detect objects in satellite imagery using Python, Airflow, PostgreSQL, and AWS, while also contributing to model training pipelines.
Build and maintain data pipelines, optimize databases, and deploy data platforms for a French financial-intelligence service, using Python, SQL, and cloud-native tools.
Builds and maintains scalable data pipelines for an AI platform that processes satellite imagery, using Python, Airflow, PostgreSQL/PostGIS, and AWS.
Build and deploy MLOps pipelines to collect robotics data, orchestrate model training, and automate deployment for AI-driven warehouse automation systems using Python, cloud infra, and Kubernetes.
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 maintain data pipelines to ingest, clean, and structure diverse healthcare datasets for deep-learning models at a French university hospital.
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