AI Engineer / Architect Consultant
Tasks
- Advise clients on AI architecture and MLOps
- Apply prompt engineering and agent workflows
- Build and maintain scalable ML pipelines
- Create technical documentation and client deliverables
- Design build and deploy end to end AI solutions
- Develop model monitoring and drift detection
- Integrate GenAI solutions with RAG and LLM agents
- Present architecture proposals to technical and non technical stakeholders
- Run AI discovery workshops and ideation sessions
- Support AI strategy and governance roadmaps
Perks/Benefits
- Bonus
- Hybrid work
- Mobility allowance
- Open, inclusive culture
- Pension LPP BVG
- Professional development opportunities
Skills/Tech-stack
AI Foundry | AI Governance | AI Pipelines | Azure AI | Azure AI Foundry | Azure DevOps | Azure Machine Learning | Azure OpenAI | BigQuery | CI/CD | Computer Vision | Databricks | Databricks Model Serving | Deep learning | Delta Lake | Docker | Drift Detection | Experiment tracking | Generative AI | Git | GitLab | Kubernetes | LLM | Langchain | Language Processing | MLflow | Machine Learning | Model Registry | Model Serving | Monitoring | Natural Language | Natural Language Processing | PyTorch | Python | RAG | SQL | Scikit-learn | Semantic Kernel | TensorFlow | Vertex AI | Vertex AI pipelines | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | AI Solutions | AI Solutions Architect | Architect | Engineer | ML Engineer | Solutions Architect
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