Senior Machine Learning Engineer (m/f/d)
Tasks
- Build scalable training pipelines with distributed frameworks
- Create high performance data engineering pipelines
- Design architectures for demand elasticity and capacity constraints
- Develop regression prediction models for optimal pricing
- Document infrastructure design and mentor peers
- Implement monitoring and automated retraining triggers
- Prototype and evaluate deep learning model architectures
- Run large scale experimentation and simulation
- Tune hyperparameters with Ray Tune and Optuna
Perks/Benefits
- Employee discounts
- Flexible working hours
- Hybrid work model
- Partner discounts
- Private health insurance
- Training programs
- Vacation days
- Volunteer day
Skills/Tech-stack
AWS | Apache Airflow | Apache Arrow | CNN | Convolutional Networks | Dask | Deep learning | Distributed Training | Docker | Embeddings | GRU | Hyperparameter Tuning | Kubeflow | Kubernetes | LSTM | MLP | MLflow | Machine Learning | Model Monitoring | Multi-GPU | Multi-node | Optuna | Polars | PySpark | PyTorch | Ray Tune | Regression | Retraining automation | Temporal Convolutional Networks | TensorFlow | Transformer
Education
N/A
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