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Senior ML Engineer - Offline Team

Helsinki R

EUR 64K-78K (estimate) Senior-level Full Time

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Found 1mo ago

Tasks

Build and maintain data and ML pipelines
Collaborate on scalability and reliability with infrastructure teams
Enable Data Scientists with reusable pipeline components
Ensure online offline consistency
Extend datasets with new data sources
Implement deep learning training loops
Lead end-to-end ML projects
Maintain ML lifecycle reproducibility
Migrate CI/CD pipelines
Optimize training pipelines performance and cost
Orchestrate GPU workloads
Track experiments and version configs
Triage and resolve alerts from Airflow and dbt

Perks/Benefits

N/A

Skills/Tech-stack

Airflow | Amazon Web Services | Apache Spark | Batch inference | DBT | Experiment tracking | Feature Engineering | Hyperparameter Tuning | Kubernetes | LightGBM | MLflow | Model Deployment | Model Serving | Prometheus | PyTorch | Python | Real Time | Real-time Inference | Scikit-learn | Terraform | Training-serving skew | Web Services

Education

N/A

Roles

Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer | Senior ML Engineer

Regions

Countries

States

Cities

Helsinki, Uusimaa, FI

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