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Senior Data Engineering Consultant (German-speaking)
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.
Senior Azure Platform Engineer - AI & Data (f/m/d) 100%
Own and scale Orderfox’s Azure platform powering AI agents that transform manufacturing data into actionable insights across CNC, injection moulding, and robotics.
DevOps Engineer III (plateforme de données)
Design, deploy, and maintain scalable MLOps and GitOps infrastructure for a national data platform, including Linux systems, GPGPU hardware, and observability tooling.
Senior DevOps Engineer – IaC, MLOps & Data Platform
Designs, deploys and secures Linux infrastructure, MLOps pipelines and data platforms for a government cyber command.
Senior DevOps Engineer - Data Platform & ML Ops
Design, automate, and secure Linux infrastructure for AI/ML model deployments using IaC, GitOps, and MLOps practices.
DevOps Engineer III
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.
Senior AI Engineer - Lead End-to-End ML & Data Pipelines
Lead end-to-end AI/ML projects: design models, build data pipelines, and deploy robust MLOps solutions for complex business problems in Switzerland.
DevOps Engineer III (Data Platform)
Design and operate modern DevOps and MLOps pipelines for a secure Swiss military data platform, including IaC, GitOps, and Linux infrastructure.
DevOps Engineer III (Data Platform)
Designs and runs modern DevOps and MLOps pipelines for AI/ML model deployment, monitoring, and lifecycle management on Linux and GPGPU infrastructure.
DevOps Engineer III (Data Platform)
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.
Software Engineer (Java/Spring Boot) auf dem Weg zum Data / AI Engineer
Build Java/Spring Boot backends and transition into data/AI engineering, designing data pipelines, AI workflows, and cloud-native systems for clients in banking, government, retail, and transportation.
Data Engineer – Data & AI (F/H)
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).
Full Stack Software Developer 80-100% (f/m/x)
Build and maintain a large Swiss real-estate marketplace using Next.js, React/TypeScript, .NET Core, Azure, SQL Server, Cosmos DB, and Elasticsearch.
Full Stack Software Developer 80-100% (f/m/x)
Build and maintain a large Swiss real-estate marketplace using Next.js, .NET Core, React/TypeScript, Azure, SQL Server, Cosmos DB, and Elasticsearch.
Senior Data & AI Engineer
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 — Remote ML Pipelines
Senior Data & AI Engineer builds and maintains ML pipelines and MLOps practices for a Swiss energy company using Python, SQL, Azure Databricks, and PowerBI.
AWS Data & AI Engineer — Onsite, Growth & Impact
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.
AWS Data & AI Engineer at Noventiq WLL
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.
Solution Engineer (AI & Big Data) @ Addepto
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.
Senior Data Scientist / ML Engineer @ Addepto
Build and deploy ML models and AI solutions for global clients, from LLMs to optimization engines, using Python, cloud platforms, and MLOps practices.