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Build and optimize large language models for insurance workflows, focusing on post-training, evaluation, and inference performance to improve underwriting and claims processing.
Design and implement Microsoft Azure cloud, data, and AI solutions for a large food manufacturer, integrating ERP, supply chain, and analytics systems.
Senior Software Engineer building data pipelines and microservices to power manufacturing and enable data-driven decisions using Python, SQL, ETL, and Databricks.
Build and deploy AI agents and GenAI systems on AWS, integrating them into insurance workflows while optimizing performance and mentoring junior developers.
Build and deploy 4D Vision™ systems for industrial robots, extending object detection, depth estimation, and pose estimation using PyTorch and foundation models to enable precise automation on factory floors.
Senior Data Scientist builds and deploys time-series forecasting and optimization models for energy markets, using Python, MLOps, and cloud tools to reduce costs and improve grid utilization.
Build and scale a machine-learning platform that accelerates drug discovery, enabling the full ML lifecycle from development through deployment.
Build and deploy AI/ML models (computer vision, NLP, LLMs) on Azure to support transportation and infrastructure projects, ensuring robust CI/CD and stakeholder communication.
Build and deploy production-grade ML systems for utility operations, focusing on time-series forecasting, anomaly detection, and geospatial intelligence with MLOps and cloud/on-prem deployments.
Develop internal software tools for quantum computing R&D, from high-level quantum algorithms to lab hardware control, using Python and other languages in a collaborative startup environment.
Build internal tools and customer-facing features for a factory automation platform using React.js, Node.js, and Nest.js, while collaborating with product teams and designers.
Build and maintain Dryads’ cross-platform mobile apps (iOS/Android) and web components using React, Capacitor, Firebase, and Mapbox, focusing on AI features, offline mapping, and subscription systems.
Design and implement cloud services for energy data storage, processing, and API exposure using Kubernetes, REST, gRPC, and GraphQL.
Build and optimize a modern analytics platform using Microsoft Fabric and Azure cloud tools to migrate from legacy SAP BW, focusing on data pipelines, ETL workflows, and Power BI reporting.
Build and maintain data pipelines, ETL processes, and databases to feed AI model training and optimization for a quantum-AI deep-tech company.
Design and maintain Python-based data tools and cloud-native AWS applications to optimize energy trading operations.
Build a backend workflow engine in Python (FastAPI) and a React/TypeScript UI to let scientists run simulations without touching HPC clusters; own the full stack from design to deployment.
DevOps Engineer automating space-sector pipelines for SST/SDA projects using virtualization, CI/CD, Docker, and Python in a hybrid Madrid role.
Build and maintain cloud infrastructure, CI/CD pipelines, and observability for autonomous robot fleets in energy and industrial settings using Kubernetes, AWS/Azure, and Terraform.
Senior DevOps Engineer builds and optimizes CI/CD pipelines and infrastructure-as-code for an energy/commodities firm, focusing on Azure, Terraform, and automation tools.
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