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Lead a team to design and operate enterprise-scale data pipelines, integrations, and governance for ABB’s Digital Engineering CoE, enabling trusted data for Digital Twins, knowledge graphs, and sustainability platforms.
Lead Engineer applying data science and math to optimize global engineering operations, focusing on demand-capacity analysis, cost control, and outsourcing leverage.
Build and maintain full-stack web apps for e-mobility charging systems using modern JS frameworks, REST APIs, and C++ backends.
Build and maintain cloud-based data platforms and AI solutions, integrating heterogeneous data sources to enable advanced analytics, Generative AI, and machine-learning use cases for supply-chain and industrial clients.
Builds web-based thermal rating tools using .NET Core REST APIs, Angular front-ends, and SQL Server in a global Scrum team.
Build a global web thermal calculation tool using Angular for UI and C#/.NET for backend APIs with SQL data access.
Designs and validates energy-efficient cooling systems for hyperscale data centers, translating client needs into resilient mechanical solutions and guiding projects from design through commissioning.
Build end-to-end prototypes for industrial AI applications using full-stack development, cloud/edge deployment, and digital twin visualization.
Junior full-stack developer building web/desktop apps and APIs that integrate with industrial machines, PLCs, and AI/vision systems for smart manufacturing.
Builds and deploys AI models to analyze telematics data, improving products and supporting internal/external data needs in a cloud-based R&D team.
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.
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