Senior MLOps Engineer

Key Responsibilities:

• Design, develop, validate, and maintain MLOps pipelines, automating processes and integrating them with AWS services.
• Architect, implement, and evolve cloud-based systems, ensuring scalability and alignment with project objectives.
• Collaborate with Data Scientists to operationalize, deploy, monitor, and maintain machine learning models and applications.

Requirements:

• Minimum of 3 years of professional experience with AWS and MLOps.
• Strong hands-on experience with Python and software development, plus experience designing and integrating APIs.
• Solid knowledge of AWS services, cloud-native practices, and infrastructure architecture.

Benefits:

• 100% remote work with medical and dental insurance (Porto Seguro).
• Profit sharing, childcare assistance, and meal/food allowance via Alelo.
• Home office allowance, certification support, and access to wellness programs like TotalPass and Mindself.