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About the role
- Design, develop and implement Machine Learning and Artificial Intelligence solutions
- Work across the full MLOps lifecycle: data ingestion, training, deployment and monitoring
- Build scalable and resilient pipelines in the Cloud (AWS)
- Work with Infrastructure as Code (IaC)
- Apply software architecture and engineering best practices
- Collaborate with data, engineering and business teams
Requirements
- Experience with Cloud platforms, preferably AWS
- Practical experience with IaC (Terraform)
- Familiarity with architecture best practices (Clean Architecture, Hexagonal Architecture, etc.)
- Strong software engineering fundamentals (Clean Code, modularization)
- Experience with TDD, BDD and/or DDD
- Experience with Gitflow
- Knowledge of classical ML/AI and Deep Learning
- Hands-on experience with end-to-end MLOps
Benefits
- 100% remote
- CLT employment (Brazilian formal employment contract)
- High-complexity, high-visibility project
- Collaborative technical environment focused on best practices
- Continuous learning and exposure to modern technologies
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Machine LearningArtificial IntelligenceMLOpsCloudInfrastructure as CodeTerraformClean ArchitectureHexagonal ArchitectureTest-Driven DevelopmentBehavior-Driven Development
Soft skills
collaborationcommunication