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Grupo OLX

Staff AI/MLOps Engineer

Grupo OLX

. Work within the Data Platform organization, as part of a strategic squad responsible for developing, operating, and scaling Machine Learning and Artificial Intelligence capabilities .

Posted 9/23/2026full-timeRemote • BrazilLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive knowledge of AWS architecture and components, with a strong focus on Machine Learning infrastructure and MLOps. Capable of designing scalable systems and implementing CI/CD pipelines while ensuring security, compliance, and high availability.

Highest-signal resume keywords
AWS ArchitectureMachine Learning InfrastructureMLOps ImplementationCI/CD Pipeline AutomationFeature Store Development

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningArtificial IntelligenceMLOpsAWS ComponentsModel DeploymentDistributed Systems DesignScalable SystemsGovernance of Generative ModelsProduction OperationsData Lifecycle Management
Soft Skills
Influencing StakeholdersNegotiationProblem-SolvingAdaptabilityOwnership
Tools & Technologies
AWSGenAIAI PlatformFeature StoreCI/CD Tools
Certifications & Qualifications
AWS Certified Solutions ArchitectAWS Certified Machine Learning – Specialty
Industry Keywords
FinTechE-commerceBig TechData PlatformAI Ops

Tech Stack

Tools & technologies
AWS

About the role

Key responsibilities & impact
  • Work within the Data Platform organization, as part of a strategic squad responsible for developing, operating, and scaling Machine Learning and Artificial Intelligence capabilities
  • Architect and propose solutions aligned with the AWS-first strategy
  • Influence, champion, and promote platform capabilities across technology and business teams
  • Design, build, and evolve MLOps and AI/GenAI infrastructure and platforms on AWS
  • Ensure robustness, high availability, observability, and cost control
  • Lead the transition and expansion of MLOps into an AI Platform, including GenAI Ops and governance of generative models
  • Implement automated CI/CD pipelines for ML/AI models
  • Ensure secure, reproducible, and monitored production deployments
  • Ensure security, compliance, quality, and traceability standards for models and data throughout their lifecycle
  • Lead architecture discussions and defend technical decisions based on trade-offs
  • Influence stakeholders without relying on formal authority
  • Promote the data platform, identify pain points across other teams, and present solutions to increase adoption of its tools

Requirements

What you’ll need
  • Extensive knowledge and hands-on experience with AWS architecture and components
  • Strong experience with Machine Learning infrastructure, model deployment, and production operations
  • Experience building a Feature Store
  • Demonstrated ability to design distributed, scalable, and resilient systems
  • Strong ownership and ability to deliver end-to-end solutions
  • Consistency and composure in the face of change or pressure
  • Ability to negotiate, make compelling arguments, and align technical decisions with technical and non-technical audiences
  • Proactive approach to identifying opportunities to impact other teams and champion data products
  • AWS certifications are a plus, such as AWS Certified Solutions Architect and AWS Certified Machine Learning – Specialty
  • Previous experience building AI Platform or AI Ops ecosystems is a plus
  • Experience at highly scaled companies, such as FinTechs, large-scale e-commerce companies, or Big Tech, is a plus

Benefits

Comp & perks
  • Market-competitive compensation
  • Health insurance
  • Dental insurance
  • Private pension plan
  • Flexible benefits tailored to your needs
  • Meal allowance
  • Financial counseling
  • Employee perks program
  • Home office allowance
  • Mobility allowance
  • Childcare assistance
  • Life insurance
  • Extended leave policies
  • Support for sports, quality of life, and well-being
  • Payroll-deducted loans at reduced interest rates
  • Flexible work model, with a predominantly remote arrangement
  • Occasional in-person meetings as needed and agreed upon with the team