Machine Learning Engineer

Role overview Build and run machine-learning models used in automation and assistant products. The work spans the full path from preparing data and evaluating model performance to integrating models into products and monitoring them after deployment.

Responsibilities - Develop and assess models using defined business measures. - Manage the model pipeline from data preparation through deployment and monitoring. - Work with software engineers to integrate models into product features.

Requirements - Strong Python skills and a sound grasp of supervised and unsupervised learning and model evaluation. - Practical experience using PyTorch or TensorFlow with real-world datasets. - Ability to build data pipelines and deploy models into production.