VINTTI AI · WE ARE AI EXPERTS

Hire AI/ML Engineers. First candidates in 7 days.

Pre-vetted LATAM ML engineers — Python, PyTorch, HuggingFace & MLflow experts — ready to build and deploy AI models with average savings of 62% vs US hiring costs.

58%

average cost savings across all roles.

sTACK:

  • LLM Development
  • Model Training
  • MLOps
  • Data Pipelines
  • Model Deployment
  • Computer Vision

Schedule your call

⏱ 30 min

Cost Comparison

What does it actually cost to hire a AI/ML Engineer in LATAM?

LATAM vs USA · AI/ML Engineer
Salary Type
Country
🇲🇽 Mexico
🇦🇷 Argentina
🇨🇴 Colombia
🇨🇱 Chile
🇧🇷 Brazil
🇵🇪 Peru
🇺🇾 Uruguay
🇪🇨 Ecuador
🇻🇪 Venezuela
🇧🇴 Bolivia
🇵🇾 Paraguay
Mexico
USA
Hiring a Junior AI/ML Engineer in Mexico saves your company approximately per year vs a US-based equivalent.
Compare costs across all AI roles →

By the numbers

The numbers that matter.

7d

Average time to first qualified candidates

62

%

Average cost savings vs US-based experts

8

+

Verticals covered by our talent pool

$0

Upfront cost — pay only when you hire

GET STARTED

Tell us what you need.

We’ll send you pre-vetted candidates in 7 days. You only pay if you hire.

Schedule your call

⏱ 30 min

Get candidates

No commitment. First candidates in 7 days. Pay only if you hire.

PROCESS

From brief to first AI/ML Engineer in 7 days.

1

Let’s Connect

We get to know each other and make sure we're aligned on what you're looking for.

Takes 15 minutes

2

Let’s Learn Your Needs

We go deeper on the role: PyTorch vs TensorFlow, MLOps vs research, LLM fine-tuning vs CV pipelines, team size, and any hard requirements. We own the technical qualification from there.

Takes 30 minutes

3

We Source & Vet

We screen for stack depth, system design skills, and production experience. You only see engineers who passed our technical bar — coding assessment, architecture review, and English proficiency included.

Day 7 onwards

4

You Hire, We Handle the Rest

Interview, select, and onboard. We manage contracts, payments, and compliance.

Hire in 18 days

COVERAGE

What can your LATAM AI/ML Engineers build?

LLM Development & Fine-tuning

Engineers who fine-tune open-source models (Llama, Mistral, Falcon), build RAG pipelines, and deploy production-ready LLM applications using HuggingFace and OpenAI APIs.

  • Fine-tuning
  • RAG
  • HuggingFace
  • RLHF

Computer Vision

Specialists in object detection, image segmentation, and video analytics using PyTorch and OpenCV. Build perception systems, medical imaging models, and industrial inspection AI.

  • PyTorch
  • OpenCV
  • Object Detection
  • Segmentation

MLOps & Model Deployment

Engineers who own the full ML lifecycle — training pipelines, experiment tracking with MLflow, model serving, monitoring, and CI/CD on AWS SageMaker or GCP Vertex.

  • MLflow
  • SageMaker
  • Vertex AI
  • CI/CD

Data Science & Predictive Modeling

Analysts and engineers who build forecasting models, recommendation systems, churn prediction, and anomaly detection using scikit-learn, XGBoost, and Pandas.

  • Scikit-learn
  • XGBoost
  • Pandas
  • Forecasting

NLP & Text AI

Engineers building document classification, sentiment analysis, named entity recognition, and summarization systems using transformer models and spaCy.

  • Transformers
  • spaCy
  • NER
  • Text Classification

Research & Experimentation

ML researchers who design and run experiments, benchmark model performance, contribute to novel architectures, and publish reproducible results using Jupyter and W&B.

  • W&B
  • Jupyter
  • Benchmarking
  • Research

WHY VINTTI AI

Why companies hire Latam AI/ML Engineers through Vintti.

Vintti AI

Freelance Platforms

US-based Agencies

Technical assessment

Included and personalized

General workforce

Available, but costly

Time to first candidate

7 days

2–4 weeks setup

4–8 weeks

Cost vs US market

Up to 62% savings

Variable, low quality

Full US rates

Stack coverage

PyTorch, HuggingFace, MLflow, AWS

Generalist profiles

Depends on agency

Account management

Included 24/7

Self-serve only

Included, at a premium

Pay model

Pay only if you hire

Hourly + platform fees

Retainer or placement fee

WHAT THEY'LL DO FOR YOUR TEAM

Tools and frameworks your new hires work with

  • Python
  • PyTorch
  • TensorFlow
  • HuggingFace Transformers
  • MLflow
  • AWS SageMaker
  • GCP Vertex AI
  • Scikit-learn
  • Pandas / NumPy
  • Jupyter Notebook
  • Weights & Biases
  • OpenCV
  • FastAPI
  • Docker / Kubernetes
  • SQL
  • Matplotlib / Seaborn
  • LangChain
  • Pinecone / Weaviate
  • JavaScript / TypeScript
  • Git / GitHub Actions

Roles we place

Find other roles for your AI stack needs.

Not generic engineers. Specialists who have shipped real AI workflows for US companies, at LATAM rates.

Evals Engineer

LLM evaluation, red-teaming, model quality at scale

Most in-demand at AI-native startups

Prompt Engineer

Prompt design, LLM evaluation, team enablement

Gold for SaaS

Data Annotation Specialist

Data labeling, annotation, dataset curation, model evaluation

Foundation layer

LLM Integration Developer

RAG, embeddings, LLM APIs, product AI features

Highest ticket

NO COMMITMENT REQUIRED

Great AI starts with the right people.

Tell us the role, stack and seniority you need. We send pre-vetted candidates in 7 days. You only pay if you hire.