Lead Machine Learning Engineer

Requisitos

• Strong foundation in statistics, machine learning theory and modeling techniques (e.g. regression, tree-based models, deep learning)
• Programming experience in Python and familiarity with ML libraries (e.g. scikit-learn, PyTorch, TensorFlow, XGBoost)
• Experience training, validating, and tuning models, with solid understanding of overfitting, bias-variance tradeoff and evaluation metrics
• Understanding of the ML model lifecycle, from training and evaluation to deployment and monitoring
• Ability to write efficient SQL queries and work with analytical data environments

Desejáveis

• Experience with cloud platforms such as AWS, GCP or Azure
• Familiarity with distributed systems, microservices and asynchronous architectures
• Experience with feature stores, MLOps tooling and experiment tracking (e.g
• MLflow, Feast, Airflow)
• Knowledge of data architecture patterns (Data Lake, Data Warehouse, Data Mart)
• Experience with data visualization tools (Looker, Power BI, Tableau or similar)