Our client is an AI and visual intelligence software company focused on transforming aerial, satellite, drone, and industrial visual data into operational insights. The company develops enterprise platforms combining: Computer Vision, Geospatial Analytics, Artificial Intelligence, Digital Twin technologies, Infrastructure monitoring solutions. We are looking for a Platform engineer to conduct impact analysis and testing for the migration of our AWS accounts to the client's main federated account. You will be responsible for assessing the technical, and operational implications of this consolidation, and ensuring a seamless transition without impact on production services. AWS Analysis and Migration: Conduct a comprehensive audit of current AWS infrastructure (resources, services, dependencies, costs); Analyze the impact of migration to the client's federated AWS organization on architecture, performance, and costs; Assess implications on IAM policies, roles, service control policies (SCPs), and permissions; Identify risks and constraints related to migration (service limits, quotas, service compatibility); Design and document target architecture in the client's AWS Organizations environment; Plan migration strategy (big bang vs progressive) with detailed risk analysis; Develop and execute test plans to validate IAM configurations, networking, security groups, etc.; Test migration of pilot accounts and document learnings; Implement monitoring and alerting mechanisms to detect post-migration anomalies; Validate integration with client's governance and cost management tools; Create detailed runbooks for migration and rollback.
Apply on company website Toulouse, France On-site Full-time
IOTA GROUP is hiring a Senior AWS Platform Engineer – Account Migration
About company
Description de l'entreprise: Leading enterprise AI software company that empowers organizations to accelerate their digital transformation by harnessing the power of visual intelligence. Their cutting-edge platform enables customers across various industries (such as Energy, Grid Infrastructure, Environment, Manufacturing, and more) to efficiently manage, analyze, and operationalize vast amounts of visual data (images, videos, Lidar, etc.). By combining computer vision, geospatial analysis, and artificial intelligence, they help businesses build and deploy AI applications at scale, turning complex data into actionable insights and tangible business outcomes. They foster a collaborative, innovative, and fast-paced environment where technical excellence and continuous learning are highly valued.
Description du poste: Our client is seeking a talented and passionate Junior Data Scientist to join our dynamic team. In this role, you will be instrumental in designing, building, and maintaining robust and scalable data pipelines specializing in complex geospatial and 3D data. Your contributions will directly impact our ability to deliver innovative solutions to our enterprise clients.Responsabilities🏗 Design, develop, and maintain scalable and reliable data pipelines for ingesting, processing, and transforming large volumes of complex data, particularly geospatial and 3D datasets.☁ Work with cloud-native solutions to analyse massive datasets efficiently🚀 Contribute to the continuous improvement of our machine learning engineering practices.📊 Troubleshoot and resolve data-related issues in a timely manner.
Qualifications: 🎓 Education: Background in programming, mathematics, and algorithms (Master's degree level/M2 or equivalent).🐍 Python Proficiency: Mastery of Python, particularly scientific libraries (Numpy, Pandas, OpenCV, Scikit-Learn, etc.).🧊 Computer Vision & 3D: Strong theoretical and applied skills in computer vision and 3D geometry (3D reconstruction, constrained optimization, morphology, clustering, etc.).🗺 GIS & Remote Sensing: Knowledge of GIS/remote sensing tools for data georeferencing is highly appreciated (GDAL, QGIS, geopandas, rasterio).🧠 Deep Learning: Solid knowledge of Deep Learning and general Machine Learning, with experience in specific computer vision tasks (semantic segmentation, object detection, image classification) and PyTorch (or equivalent).🐧 System & Version Control: Familiarity with Unix/Linux environments and Git.🗣 Language: French and English written and oral proficiency
Informations supplémentaires: Duration: 3 to 12 months with possible recruitment.
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