Engenheiro de Machine Learning – Sênior

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Package and version machine learning models (MLflow, SageMaker Model Registry)

• Define and implement appropriate AWS services (SageMaker, Lambda, ECS/EKS, API Gateway, among others)

• Build and maintain CI/CD pipelines, ensuring automation of testing, building, and deployment

• Automate deployments across multiple environments (dev/staging/prod) securely with rollback capabilities

• Expose models for consumption by other services (via endpoints or Lambdas)

• Configure and monitor production environments (CloudWatch, logs, metrics)

• Collaborate with multidisciplinary teams to ensure efficient, secure, and scalable solutions.

⛳️ Requirements

• Solid experience with **AWS** and its key services (S3, SageMaker, Lambda, ECS/EKS, API Gateway)

• Proficiency in **Python** applied to engineering and deployment of ML models

• Experience with **CI/CD pipelines** and best versioning practices (**GitHub** or similar)

• Background in **packaging, deploying, and monitoring** models in production

• Knowledge of best practices for security and automation in cloud environments

• Experience with **Fargate, DynamoDB, Athena, or Bedrock** (a plus)

• Familiarity with **Azure** and multi-cloud integration (a plus)

• Knowledge of **advanced monitoring and observability** (logs, metrics, tracing) (a plus)

• Experience in agile teams and consulting environments (a plus)

• Interest in contributing to **best practices and MLOps culture** (a plus)

🏝️ Benefits

• Flexible Food/Meal Voucher (Swile)

• Total Pass (gym memberships)

• Zenklub (online psychological support)

• SulAmérica Health Plan - 100% subsidized for you

• Amil Dental Plan

• Life Insurance

• Profit Sharing

• Annual Bonus

• Discounts on language courses from Open English

• Advanced level AWS partnership

• Discount on electricity bills (CEMIG operator)

• Citizen Company: extended maternity and paternity leave