Machine Learning Engineer

• Develop, deploy, and continuously improve machine learning models for Zé Delivery.
• Build and maintain data, feature, training, and inference pipelines at scale.
• Develop recommendation and personalization solutions for different stages of the customer journey.
• Monitor the performance, quality, and stability of models in production.
• Define and analyze experiments, A/B tests, and impact metrics.
• Partner with Data, Engineering, Product, and Business teams.
• Serve as a technical reference and support the development of more junior professionals.
• Contribute to an inclusive, diverse, collaborative, and technology-driven culture at Ambev.

• Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field.
• At least 5 years of experience in Machine Learning, Data Engineering, Software Engineering, or Data Science applied to production environments.
• Proven experience deploying and operating models in production.
• Ability to independently lead projects end to end.
• Strong communication skills and the ability to translate technical decisions into business impact.
• Extensive experience with Python, SQL, PySpark, and cloud platforms, especially AWS or Azure.
• Knowledge of MLOps, including data and feature pipelines, CI/CD, version control, model deployment, and monitoring.
• Experience with recommendation, personalization, prediction, or classification models.
• Knowledge of batch and online inference, APIs, and low-latency systems.
• Strong knowledge of machine learning, statistics, software engineering, and distributed systems.
• Ability to evaluate models based on quality, scalability, cost, latency, and business impact.
• Experience with two-tower models, retrieval, ranking, and embeddings.
• Experience with real-time recommendation systems.
• Knowledge of Kubernetes, Databricks, MLflow, Airflow, or feature stores.
• Experience optimizing cost, latency, and scalability in cloud environments.
• Experience in technical leadership.

• Medical insurance
• Dental insurance
• Telemedicine
• Life insurance
• Gympass
• Employee discount on company products
• Christmas food basket
• Toys for employees’ children
• Private pension plan
• Meal or food allowance
• Optional transportation allowance
• Attendance bonus equivalent to a 14th salary
• Daycare or nanny assistance
• Company profit-sharing plan
• Merit-based and inclusive environment
• Development and career growth opportunities within the company