Data & AI Engineering

Ideal Customer Profile

Ideal for organizations that:

We work with companies looking to transform data into competitive advantage

Data Modernization

Are migrating from legacy systems to modern cloud-native architectures

Data LakeCloud MigrationModernization

Source Integration

Need to unify multiple data sources into a cohesive ecosystem

ETL/ELTData IntegrationAPI

ML in Production

Want to operationalize Machine Learning models with scale and reliability

MLOpsModel ServingMonitoring

Generative AI

Aim to apply GenAI with real impact and measurable ROI

LLMsRAGAI Agents

Governance & Compliance

Require robust governance and regulatory compliance

GDPRRBACAudit
Our Pillars

Specialized Services

Three fundamental pillars covering the entire data and artificial intelligence lifecycle

Data Platform Engineering

Modern data architectures, scalable pipelines, and cloud-first integration to support critical decisions.

Includes:

  • Data Pipeline & ETL
  • Data Integration
  • Data Lake & Data Warehouse
  • Cloud Data Architecture

Applied AI & Advanced Analytics

Predictive models, intelligent automation, and GenAI solutions applied to real business problems.

Includes:

  • Machine Learning
  • Predictive & Prescriptive Analytics
  • Generative AI Solutions
  • Intelligent Process Automation

MLOps & Operationalization

We put models into production with continuous monitoring, performance control, and scalability.

Includes:

  • CI/CD for ML
  • Model Monitoring
  • Performance Tracking
  • Cloud-native Deployment
  • Infrastructure as Code
Technology Stack

Tools we master

Enterprise-grade stack with the best technologies in the market

Cloud Platforms
Data Platforms
Data Engineering
ML & AI
Infrastructure
Visualization
Our Team

Specialized Technical Team

Multidisciplinary team with proven experience in data-driven transformation projects

ML Operations
SHORE Data & AI

Specialists focused on technical capability and measurable impact

01
Data Engineer

Building and maintaining scalable pipelines and data infrastructures.

Data PipelineETLData IntegrationCloud ArchitectureScalability
02
Data Scientist

Developing predictive models and advanced analysis.

Machine LearningStatistical ModelingPredictive AnalyticsDeep Learning
03
ML Engineer

Implementation and optimization of models in production environments.

Model OptimizationFeature EngineeringProduction MLPerformance Tuning
04
MLOps Engineer

Deployment automation, monitoring, and scalability.

CI/CDModel MonitoringAutomationInfrastructure as Code

Need a specific profile?

We find the right talent for your Data & AI project.

Engagement Models

From T&M to Fixed Price

Flexible models adapted to your project's needs, objectives, and scope