Data Scientist/ML Engineer
NOK 450K-450K (estimate) Senior-level Full Time
Tasks
- Build ML operations pipelines
- Build real-time data pipelines
- Design and implement scalable ML solutions
- Integrate event-driven architectures
- Monitor model performance in production
- Optimize model deployment
- Preprocess and transform data
- Train and evaluate deep learning models
Perks/Benefits
- Certification programs
- Flexible working arrangements
- Supportive team environment
- Training and development
Skills/Tech-stack
AWS SageMaker | Azure Databricks | Continuous Deployment | Continuous integration | Data Modeling | Data Preprocessing | Deep learning | Kafka | Kubeflow | Large Datasets | MLflow | Machine Learning | Microsoft Fabric | Model Monitoring | PubSub | PyTorch | Python | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Scientist | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer | Scientist
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