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Develops industrial automation and predictive maintenance systems using data analytics and machine learning for pharma and cosmetics clients.
Builds IoT and embedded Linux systems with Java backend and React frontend for industrial projects, collaborating across software, production, and R&D teams.
Engineer the backend of a large-scale earth-observation pipeline that processes INSAR geospatial data, optimizing performance and reliability while bridging science and engineering teams.
Build and optimize a large-scale Earth Observation data pipeline processing satellite radar data, focusing on scalability, performance, and integration with scientific algorithms.
Build and optimize a large-scale INSAR geospatial data pipeline in Python/C, orchestrating cloud/HPC jobs and integrating science-driven quality checks.
Build and scale Earth-observation data pipelines for INSAR analysis, coding in Python and working with HPC/cloud to improve system performance and reliability.
Designs and builds real-time data pipelines on Google Cloud Platform using SQL and Python to power advanced analytics for a fitness technology company.
Builds IoT pipelines and data automation for airport asset monitoring, integrating SCADA and industrial data to enable predictive maintenance and ML-driven insights.
Build and maintain Power BI dashboards and data pipelines to improve energy-infrastructure analytics and reporting.
Build and deploy AI models, enrich a cloud data warehouse, and deliver data exports for internal and external clients in a telematics company.
Maintains and extends proprietary engineering tools for aerospace and sustainability projects using full-stack development.
Engineer AI and data analytics models for industrial IoT devices, building predictive systems and digital twins from sensor data using Python, ML frameworks, and cloud/edge tools.
Builds a web thermal calculation tool using Angular for UI and C#/.NET Core for backend APIs with SQL Server.
Lead a team to analyze demand vs capacity, control costs, and optimize outsourcing for a global energy-tech company using data science and engineering operations.
Senior AI & Data Engineer builds predictive maintenance and anomaly detection systems for energy/industrial environments using AI and data pipelines.
Designs and builds scalable data pipelines and cloud-native AI platforms to industrialize models and drive data-driven decisions in real estate.
Lead a team to design and maintain data pipelines, governance frameworks, and semantic integration for a Digital Twin platform, ensuring scalable, high-quality data for analytics.
Build digital twins and ML models to optimize energy performance in buildings using data analytics and simulation.
Build full-stack IoT applications in Angular/Node.js to connect and control remote devices, focusing on smart energy and utility management for marinas and campsites.
Builds and maintains ETL pipelines and AI data flows for smart manufacturing analytics using Python and SQL.
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