ml engineer for data pipelines
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Summary
ML engineer who designs and builds data pipelines and machine learning solutions and operates ML models in production. Requires 5+ years of Python, cloud (Azure/AWS/GCP), Docker/Kubernetes, relational/NoSQL databases, and fluent Dutch; based in the Netherlands.
Описание:
Signify Technology operates in the staffing and recruiting industry.
Задачи:
- Design and build Data Pipelines
- Design and build Machine Learning solutions
- Work with Machine Learning models in production environments
Требования:
- Over five years of experience with Python
- Experience working in data-driven environments as a Data Engineer, Data Scientist, or Data Analyst
- Experience with Machine Learning models such as Decision Trees / Random Forests, Deep Learning, simulations, and optimization algorithms
- Experience with Software Testing
- Knowledge of Agile, Scrum, and DevOps methods, including CI/CD pipelines
- Knowledge of containerization with Docker/Kubernetes
- Knowledge of Relational and NoSQL databases
- Knowledge of Cloud infrastructure such as Azure, AWS, or Google
- Fluent in Dutch
- Nice to have: Pandas, scikit-learn, PySpark, Keras, TensorFlow, Airflow, Kafka, Docker, Kubernetes
Условия:
No conditions specified