Machine Learning Engineer
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The role
We are seeking a Machine Learning Engineer to design and deploy ML-driven solutions for anomaly detection, telemetry classification, forecasting, and behavioral prediction in mission operations.
You will build automated data analysis pipelines for mission telemetry and production test data, and integrate ML outputs into operational tools and automation frameworks.
Responsibilities include data preparation and cleaning, structuring datasets for training and validation, and monitoring model performance in production contexts.
Collaborate with Mission Control and Automation Engineers to embed ML into operational workflows and simulation-based validation.
Document models, datasets, and interfaces, and ensure data quality, reliability, and traceability across systems.
Required skills include strong Python, experience with TensorFlow, PyTorch, or Scikit-learn, time-series modelling, anomaly detection, and deploying ML in production.
You will build automated data analysis pipelines for mission telemetry and production test data, and integrate ML outputs into operational tools and automation frameworks.
Responsibilities include data preparation and cleaning, structuring datasets for training and validation, and monitoring model performance in production contexts.
Collaborate with Mission Control and Automation Engineers to embed ML into operational workflows and simulation-based validation.
Document models, datasets, and interfaces, and ensure data quality, reliability, and traceability across systems.
Required skills include strong Python, experience with TensorFlow, PyTorch, or Scikit-learn, time-series modelling, anomaly detection, and deploying ML in production.
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