ML Software Engineer
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Die Stelle
You will collaborate with machine learning engineers and analysts to train and deploy state-of-the-art ML models for product use cases.
Build and deploy production-grade ML systems with robust monitoring, logging, and experimentation capabilities.
Gain hands-on experience with technologies such as PyTorch, AWS, Kafka, and Databricks while improving model and data pipelines.
Analyze data to uncover insights, define evaluation metrics, and communicate findings to stakeholders.
Apply statistical modeling and ML algorithms (e.g., clustering, classification) and iterate through model, data, and experimentation upgrades.
Ideal for candidates with 1+ years in ML systems, strong programming, good communication, and a detail-oriented, ownership-driven mindset.
Build and deploy production-grade ML systems with robust monitoring, logging, and experimentation capabilities.
Gain hands-on experience with technologies such as PyTorch, AWS, Kafka, and Databricks while improving model and data pipelines.
Analyze data to uncover insights, define evaluation metrics, and communicate findings to stakeholders.
Apply statistical modeling and ML algorithms (e.g., clustering, classification) and iterate through model, data, and experimentation upgrades.
Ideal for candidates with 1+ years in ML systems, strong programming, good communication, and a detail-oriented, ownership-driven mindset.
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