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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading the architecture design of real-time machine learning platforms, ensuring low-latency performance and consistency between training and inference. Proficient in building and evolving feature stores, model registries, and integrating with AWS services like Amazon SageMaker.
Highest-signal resume keywords
Real-Time Machine Learning ModelsAWS Services IntegrationFeature Store DevelopmentModel Registry and VersioningProduction Model Monitoring
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLTerraformCI/CD AutomationEvent-Triggered InferenceLow-Latency RequirementsProduction ObservabilityModel MonitoringFeature Store MetadataMachine Learning Platforms
Tools & Technologies
Amazon SageMakerMLflowKafkaKinesisDatabricks
Industry Keywords
Financial ProductsReal-Time Decision-MakingBrazil’s LGPDCentral Bank of Brazil RegulationsSOX
Tech Stack
Tools & technologiesAWSCloudKafkaPythonSQLTerraform
About the role
Key responsibilities & impact- Lead the architecture design of the real-time ML platform, evaluating alternatives and driving technical decisions
- Deliver the platform as a service, with standards, interfaces, and documentation that enable data science and product teams to independently define, deploy, and consume features and models
- Build and evolve the online and offline feature store, with cataloged metadata
- Build and evolve model registry and versioning capabilities
- Build and evolve real-time inference capabilities
- Build and evolve production model monitoring
- Ensure consistency between features used for training and inference, using the same logic in batch and streaming
- Define requirements with engineering teams responsible for event flows
- Integrate the platform with AWS ML services, using Amazon SageMaker for feature storage, model registry, and real-time inference
- Structure the operation of the platform and production models with Cloud and Data Platform teams, using IaC, standards, and runbooks
- Ensure latency, availability, and scalability through SLOs and observability
- Document technical decisions, standards, and operational procedures
Requirements
What you’ll need- Production experience with real-time machine learning models, event-triggered inference, and low-latency requirements
- Experience delivering platforms as a service, with self-service architecture standards, documentation, and interfaces that enable science and product teams to work autonomously
- Experience building online and offline Feature Stores with cataloged metadata
- Experience ensuring consistency between training and inference
- Hands-on experience structuring model registries and versioning, such as MLflow
- Experience monitoring models in production
- Experience building data and ML platforms on AWS, preferably with Amazon SageMaker or equivalent services
- Advanced proficiency in Python and SQL
- Advanced proficiency in Terraform (IaC)
- Experience automating deployments through CI/CD
- Experience with production observability
- Nice to have: experience with financial products and real-time decision-making
- Nice to have: knowledge of Kafka, Kinesis, CDC, AWS DMS, or MSK
- Nice to have: experience with the Databricks ecosystem
- Nice to have: knowledge of Brazil’s LGPD, Central Bank of Brazil (BACEN) regulations, and SOX
Benefits
Comp & perks- Medical and dental insurance with no copayments
- Life insurance
- Prescription drug assistance
- Fitness allowance
- Four free therapy or nutritionist sessions per month
- Quick massage at headquarters
- Flexible meal benefit on a Visa card
- Free food at headquarters
- Childcare assistance
- Parental support program
- Extended maternity and paternity leave
- In-house training platform
- Education assistance covering 70% of undergraduate tuition and language courses, as well as courses and books
- Home office allowance
- Work equipment
- Home office furniture allowance
- Partnership with WOBA for access to coworking spaces throughout Brazil
- Birthday month day off
- Happy hour allowance
- Referral bonus for new hires
- Bonus based on annual goals
- Stock option plan
- No dress code