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Build and maintain scalable data pipelines for Plenitude’s EV-charging network, using Python, PySpark, AWS, and Databricks to feed analytics and operational tools.
Design and scale backend services and data pipelines that integrate hardware, ML, and mobile platforms using Java/Scala/Kotlin, Python, or NodeJS/TypeScript.
Builds and maintains ETL pipelines and AI-ready data infrastructure for industrial analytics, integrating manufacturing and corporate systems on-site in Pisa.
Builds geospatial AI models and dashboards using UAV, satellite, and LiDAR data to deliver remote-sensing solutions for climate and sustainability projects.
Leads electrical design for high-profile data centre projects, coordinates with clients, and mentors junior engineers in a low-carbon-focused consultancy.
Build scalable data platforms and cloud infrastructure in Azure to power energy trading decisions using Python, C#, or Java, Kubernetes, and CI/CD.
Designs, deploys, and validates large-scale GPU clusters for AI workloads, ensuring power, cooling, and system integrity at customer sites.
Builds and maintains ETL pipelines and data validation for water-business processes using SQL and integration tools, focusing on billing, collections, and telemetry.
Leads AI-driven data analytics projects to optimize supply chains and business processes for clients in manufacturing and retail.
Build and scale the data platform that powers renewable energy analytics, owning CI/CD pipelines and observability for a small team.
Designs and coordinates BIM models for data centre facilities, integrating mechanical systems and collaborating across global teams.
Design and maintain high-volume data pipelines for aerospace applications using Python, SQL, PostgreSQL, and cloud tools like Cloudera/Hadoop/Spark.
Designs and builds data architectures and backend systems for AI in renewable energy, using Microsoft Fabric, Power BI, and REST APIs.
Own and operate next-gen hardware test rigs for AI data-center components, troubleshoot faults, and analyze thermal/cooling performance data to drive engineering improvements.
Design and build scalable, cloud-native data platforms with AI integration, collaborating with product, DevOps, and analytics teams to support live systems.
Design, build, and maintain cloud-native data pipelines and AI services on AWS for Schneider Electric’s climate-tech products.
Designs and maintains cloud data pipelines and analytics platforms to power AI-driven predictive maintenance and asset monitoring for food and beverage facilities.
Builds and maintains data pipelines, integrates IoT and industrial data sources, and deploys ML models using Microsoft Fabric for an AI-driven industrial platform.
Design and maintain cloud data pipelines and analytics platforms for food and beverage processing plants, enabling AI-driven predictive maintenance and operational insights.
Design and build AI systems to optimize industrial energy operations, working with cross-functional teams in a hybrid setup.
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