Senior MLOps Engineer

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

📋 Description

• Design, automate, and monitor Machine Learning pipelines.

• Develop and uphold CI/CD processes for model deployment.

• Engage in orchestration and large-scale data processing activities.

• Adhere to best practices for versioning, testing, and deploying models.

• Collaborate with Data, Engineering, and Business teams to enhance solutions continuously.

⛳️ Requirements

• Proficiency with AWS services such as S3, EMR, Glue, SageMaker, Lambda, or similar.

• Experience in using PySpark for distributed data processing.

• Background in building data pipelines and/or production-level Machine Learning pipelines.

• Familiarity with code versioning tools (Git) and CI/CD methodologies.

• Proficient in Python programming.

• Preferred: Experience with Kubernetes, GitOps, MLflow, and managing the Machine Learning model lifecycle.

🏝️ Benefits

• Swile flexible card for meal and food allowances.

• Totalpass benefits.

• Gympass access.

• Mental health support through Psicologia Viva.

• Bradesco health insurance coverage.

• Bradesco dental plan.

• Profit-sharing opportunities.

• Childcare assistance for mothers.

• Support for obtaining professional certifications.

• Access to special talks and webinars.

• RAF referral bonus program.

• Life insurance coverage.

• Subsidy for English or Italian language courses.

• Birthday gift provision.

• Opportunity for relocation to another country.

• Partnerships with universities.