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Build and maintain AI-powered DevOps pipelines for an internal AI agent ecosystem, focusing on LLM inference, MCP integration, and AI artifact tracking in software releases.
Senior DevOps Engineer building and running IaC/GitOps pipelines and MLOps environments for AI model deployment and monitoring on Linux and GPGPU hardware.
Senior Data Engineering Consultant designs, builds, and operationalizes scalable data pipelines, ML/LLM integrations, and DataOps/MLOps platforms to move clients' AI projects from prototype to production.
Own and scale Orderfox’s Azure platform powering AI agents that transform manufacturing data into actionable insights across CNC, injection moulding, and robotics.
Design, deploy, and maintain scalable MLOps and GitOps infrastructure for a national data platform, including Linux systems, GPGPU hardware, and observability tooling.
Designs, deploys and secures Linux infrastructure, MLOps pipelines and data platforms for a government cyber command.
Design, automate, and operate DevOps and MLOps pipelines for a secure, distributed data infrastructure supporting Swiss military intelligence, using Linux, IaC, GitOps, and observability tools.
Lead end-to-end AI/ML projects: design models, build data pipelines, and deploy robust MLOps solutions for complex business problems in Switzerland.
Designs and runs modern DevOps and MLOps pipelines for AI/ML model deployment, monitoring, and lifecycle management on Linux and GPGPU infrastructure.
Design, automate, and operate DevOps and MLOps pipelines for a secure, distributed data platform supporting Swiss military intelligence, using Linux, IaC, GitOps, Kafka, and ClickHouse.
Design and build scalable data pipelines and platforms (Lakehouse, Data Warehouse) to feed ML models and generative-AI applications, using Python, Spark, Snowflake/Databricks, and cloud stacks (AWS/GCP/Azure).
Build and maintain a large Swiss real-estate marketplace using Next.js, .NET Core, React/TypeScript, Azure, SQL Server, Cosmos DB, and Elasticsearch.
Build and maintain ETL/ELT pipelines, data architectures, and ML pipelines using Azure Databricks, Python, SQL, and Kafka to drive energy-sector insights and automation.
Senior Data & AI Engineer builds and maintains ML pipelines and MLOps practices for a Swiss energy company using Python, SQL, Azure Databricks, and PowerBI.
Designs and maintains AWS-based data pipelines and AI systems, collaborating with scientists and analysts to deliver scalable, secure data solutions and AI-driven features.
Design and maintain AWS-based data pipelines, cloud data platforms, and AI/ML solutions using Python, Spark, and AWS services like S3, Glue, Redshift, and SageMaker.
Act as a technical advisor during pre-sales, designing AI/LLM and modern data platform solutions for enterprises, and guiding clients from discovery to implementation.
Build and deploy ML models and AI solutions for global clients, from LLMs to optimization engines, using Python, cloud platforms, and MLOps practices.
Lead the design and deployment of AI/ML systems for global clients, including optimization engines and LLM-powered recommendation systems using Python, AWS, and MLOps practices.
Build and deploy ML models and AI systems for enterprise clients, focusing on LLMs, NLP, and computer vision to solve industrial, automotive, and software-engineering challenges.
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