Bruno Martins, mlops engineer

Bruno Martins

Senior MLOps Engineer

Lisbon, Portugal · Europe/Lisbon (UTC+1) · 10 years of experience

Bruno focuses on reproducible model delivery, promotion controls, observability, and rollback.

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Why this profile fits

Reproducible model delivery

Versions code, data references, configuration, and artifacts so training and promotion can be repeated and audited.

Safe promotion and rollback

Uses evaluation gates, staged rollout, lineage, and a tested rollback path for model changes.

Operational measurement

Monitors service health, data quality, drift, cost, and model behavior with clear ownership.

Relevant toolkit

PythonKubernetesMLflowTerraformCI/CD

Delivery evidence

Selected work

Recommendation Serving Platform

digital media

Designed and delivered a production ML platform focused on real-time recommendation infrastructure; reduced p95 feature latency by 38% while doubling deployment frequency. The release included reproducible pipelines, promotion gates, lineage, drift alerts, and a documented rollback path.

PythonKubernetes

Online Feature Quality Monitor

digital media operations

Built the supporting control and measurement layer for the primary system, covering review queues, regression checks, operational visibility, and a documented handoff to the owning team.

PythonTerraform
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Relevant experience

Career timeline

Senior MLOps Engineer

2023–Present

Devlyn client assignments · Remote

  • Led real-time recommendation infrastructure delivery for a digital media team and reduced p95 feature latency by 38% while doubling deployment frequency.

MLOps Engineer

2016–2022

digital media product company (confidential) · Lisbon, Portugal

  • Built production systems in digital media, with increasing ownership of reliability, testing, and stakeholder delivery.

Skill depth

Show experience in context.

VerbalCommunicationDomainUnderstandingProblemSolvingCodeQualitySystemDesignDeliverySpeed
Competency shapeAssessment across the same six dimensions used for every profile.

Relevant experience by skill

Python10 years
Kubernetes9 years
MLflow8 years
Terraform7 years
CI/CD10 years
Model Monitoring9 years
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Languages

PythonTypeScriptSQLBash

Frameworks

KubernetesMLflowTerraformKubeflowAirflowDocker

Tools

Argo CDPrometheusGreat ExpectationsGitHub ActionsDocker

Platforms

AWS SageMakerGoogle Vertex AIDatabricksKubernetes

Storage

S3Feature StoreDelta LakePostgreSQL

Paradigms

Model lifecycle automationGitOpsDrift monitoringReproducible training

Credentials

Certifications

Google Cloud Professional Cloud DevOps Engineer

Google Cloud · 2023 · Certified

HashiCorp Certified: Terraform Associate (004)

HashiCorp · 2026 · Certified

Communication

Languages

English

Fluent

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