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Builds microservices and distributed systems in Node.js, TypeScript and .NET Core while integrating AI tools and LLM APIs to support energy-transition initiatives.
Build scalable software for energy-transition products while integrating AI into development workflows and systems; work with Node.js, .NET, and cloud-native tools.
Build scalable software for energy-transition products while integrating AI into development workflows, collaborating with stakeholders to design and deliver solutions in Node.js/.NET and cloud platforms.
Build real-time control and data systems for EV charging and energy storage, integrating hardware with software from design to deployment.
Build control logic and APIs for smart-charging systems and energy flexibility, working closely with hardware in a small team using Go/Python.
Leads DevOps for a robotics platform used in airborne, ground, and simulation systems, building CI/CD pipelines, OTA updates, and observability stacks.
Senior backend engineer building scalable Python/FastAPI services and Kubernetes infrastructure to expose AI-driven computer vision models for global infrastructure maintenance.
Designs and maintains a scalable Azure and Databricks data platform for analytics, AI, and data products, using Terraform, CI/CD, and observability tools.
Designs and maintains a scalable Azure and Databricks data platform for analytics and AI, using Terraform and CI/CD to ensure reliability and governance.
Builds and maintains cloud-based data pipelines and backend services using Python, Docker, and AWS to power Geoscape’s environmental and geospatial analytics platform.
Senior Data Scientist building AI models to optimize mine fleet operations, planning, and decision-making in Fortescue's Mine Control using Python/SQL and generative AI.
Design AI models to assess natural hazards like cyclones and floods, using cloud tech to improve insurance risk pricing and resilience outcomes.
Build and own ML systems that forecast energy demand, detect faults, and drive dispatch decisions in real time, from data pipelines to production deployment.
Builds and maintains Snowflake data pipelines for scientific analytics projects in mining, energy, agriculture, and healthcare.
Build and deploy AI/ML models and analytics to optimize supply chain, forecasting, and business decisions across a global wine producer.
Build and scale the ML infrastructure that powers Nearmap’s aerial imagery AI products, including real-time model serving, distributed training, and LLM platforms on AWS/GCP.
Designs and evolves enterprise data platforms and integration strategies to enable advanced analytics and AI across regions.
Develop and maintain Python-based software for quantum hardware control and data analysis, collaborating with engineers to automate quantum processor characterization and validation.
Build and evaluate LLM and agent-based AI systems for mining software, using PyTorch and ML evaluation frameworks to improve model reliability and performance.
Build a new enterprise data platform using Data Vault, DBT Core, Snowflake, Python and Streamlit for a climate-focused product company.
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