Specialist, Machine Learning Engineer
Copenhagen S, Region Capital of Denmark, DK, 2300
DKK 480K-576K (estimate) Mid-level Full Time
Tasks
- Advise stakeholders on responsible AI adoption
- Build and scale ML and GenAI and agentic systems
- Deploy resilient training and inference pipelines via CI CD and IaC
- Design batch and real time ML pipelines
- Establish reusable AI ready data patterns and engineering standards
- Integrate AI capabilities into enterprise applications
- Manage ML lifecycle with versioning and governance
- Mentor teams through knowledge sharing
- Operate model monitoring and observability for drift detection
- Validate ML and GenAI use case feasibility
Perks/Benefits
- N/A
Skills/Tech-stack
Automated retraining | Azure | CI/CD | Computer Vision | Data Drift | Data Drift Detection | Docker | Drift Detection | Generative AI | Infrastructure as Code | Kubernetes | Langchain | Langgraph | Language Processing | MLOps | Machine Learning | Model Governance | Monitoring | Natural Language | Natural Language Processing | Observability | PyTorch | Pydantic | Python | REST API | Scikit-learn | Snowflake | TensorFlow | “as-code”
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