Senior AI/ML Engineer
EUR 54K-60K (estimate) Senior-level Full Time
Tasks
- Apply responsible AI privacy safety bias assessment
- Build Retrieval Augmented Generation systems
- Build generative AI solutions
- Conduct human in the loop review
- Create evaluation harnesses and test sets
- Create reusable components
- Deploy models and monitor drift
- Develop machine learning models
- Engineer prompts and context
- Ensure model traceability
- Implement MLOps practices
- Optimize retrieval indexes
- Perform code review and documentation
- Shape datasets and semantic layers
Perks/Benefits
- Employee donation matching
- Flexible work arrangements
- Lunch provided
- Matching Pension Contribution
- Private health insurance
- Training opportunities
- Wellness programs
Skills/Tech-stack
AI Services | Access Management | Apache Spark | Automated Deployment | Automated deployment pipelines | Automated testing | Azure | Azure AI | Azure AI Services | CI/CD | Cloud Security | Data Pipelines | Databricks | Deployment Pipelines | Docker | Drift monitoring | Embeddings | Experiment tracking | Feature Engineering | Generative AI | Hybrid search | Identity and Access Management | Identity and access | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Model Inference | Model Registry | Model Training | Model Tuning | Model Validation | Monitoring | Privacy | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Snowflake | TensorFlow | Terraform | Vector Databases | Vector Search | Version control | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
Regions
Countries
States
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