Hire Machine Learning Engineers in Latin America
At Inti, our Machine Learning service harnesses advanced
algorithms—from decision trees to deep neural networks—to
automate insights, predict outcomes, and power intelligent
applications tailored to your business needs.
Why Machine Learning Matters
- Predictive Power: Anticipate customer behavior, demand spikes, or equipment failures before they happen.
- Automation at Scale: Replace manual rules with adaptive models that learn from new data continuously.
- Personalization & Optimization: Deliver tailored experiences and optimize processes in real time.
Our Machine Learning Workflow
Data Preparation & Feature Engineering
- Gather and normalize raw inputs: transactions, logs, sensor
feeds, text, and images - Create informative features (e.g., rolling averages,
embeddings, interaction terms) that give models
meaningful signals - Split datasets into training, validation, and test sets to ensure
robust performance measurement.
Algorithm Selection & Model Development
Evaluate multiple families of algorithms:
- Tree-Based Models: Random forests, gradient boosting
(XGBoost, LightGBM) for tabular datai - Neural Networks: Fully connected, convolutional, or
recurrent architectures for complex patternsi - Support Vector Machines & K-Nearest Neighbors: For
classification wit ̧
Train models with hyperparameter tuning (grid search,
Bayesian optimization) to maximize predictive accuracy.
Evaluation & Optimization
- Use appropriate metrics: accuracy, precision/recall, F1-score for
classification; RMSE, MAE for regressioni - Validate with k-fold cross-validation and hold-out tests to assess
generalizabilityi - Apply techniques such as early stopping, ensembling, and
calibration to fine-tune model performance.
Data Quality & Validation
- Containerize models (Docker, Kubernetes) or deploy to cloud
platforms (AWS SageMaker, Google AI Platform)i - Integrate into your applications or pipelines via REST APIs or
batch workflows - Implement continuous monitoring: data drift detection,
performance alerts, and automated retraining pipelines.
Sample Tools and Technologies
Frameworks & Libraries
TensorFlow
Light GBM
XGBoots
Data Platforms
SageMaker
Google AI
Azure ML
Feature Stores & Pipelines
MLflow
Kubeflow
Airflow
Collaboration & Versioning
Git
DCV
VS Code
Benefits You’ll See
- 30–50% improvement: in forecasting accuracy for sales, inventory, or churn predictions.
- Automated decision-making: that adapts as your data evolves
- Faster time-to-market for intelligent features embedded in customer-facing applications.
- Reduced manual effort: and operational costs through self-learning systems
Case Study Highlight
Dynamic Pricing for E-Commerce
An online retailer engaged Inti to implement a real time pricing engine.
We:
Engineered demand and
competitor-based features from
clickstream and pricing data
Trained a gradient boosting model
that optimized price points for
margin and conversion
Deployed the model behind a low-latency API, updating prices hourlyResult: Revenue per visitor increased by 12%, with a 7% lift in overall profitability.
Frequently Asked Questions
While models improve with more data, we can begin meaningful prototypes with as few
as several thousand labeled records.
We use techniques like cross-validation, regularization, early stopping, and ensembling to ensure models generalize.
Yes. We set up monitoring dashboards, automated alerts for data drift, and retraining pipelines to keep performance optimal.
Begin your journey with Inti today
Try out a resource for free!
About
Inti Consulting Services LLC is a company based out of Miami, FL. We aim to provide US companies with advanced talent from Latin America to take advantage of the amazing talent that exists in the region.