Senior Machine Learning Engineer

• Serve as a Machine Learning Engineer responsible for industrializing the core model of a Voice of the Customer (VoC) platform
• Transform models developed in notebooks into production-ready, scalable, and parameterized pipelines on AWS
• Establish the MLOps lifecycle, ensuring model versioning, reproducibility, and governance
• Develop training and inference pipelines in SageMaker
• Statistically validate score parity between the current model and the model migrated to production
• Contribute to the evolution of the VoC platform, which integrates data from multiple channels to generate business insights

• Experience with Python in a production environment
• Experience with PyTorch and Machine Learning model development
• Experience with AWS SageMaker, including Jobs, Pipelines, Model Registry, and GPU
• Experience with MLOps, including model and experiment versioning and reproducibility
• Knowledge of statistical validation and model comparison
• Preferred: experience with PyTorch Geometric and Graph Neural Networks (GNNs)
• Knowledge of NetworkX, scikit-learn, and FAISS
• Experience with Machine Learning model explainability

• This position is also open to candidates with disabilities