This position is open to candidates based in Mexico only. Applications from outside Mexico will not be considered.
Company Overview
At Avahi, we’re redefining what it means to be a premier cloud-first consulting company, recognized for our people, culture, and innovative solutions. With expertise in Managed Services, Staffing, and Professional Services, we are dedicated to delivering exceptional value and putting customers first.

As a remote-first, integral team spanning North America, Europe, and Southeast Asia, we foster a collaborative and diverse environment where professional growth, creativity, and mutual respect thrive. Guided by our values—Customer-Centricity, Collaboration, Agility, Innovation, Integrity, and Diversity & Inclusion—we empower businesses to embrace the full potential of a cloud-first approach.
About the Role:
As a Data Scientist at Avahi, you’ll work very closely with a senior member of our research team on cutting-edge Applied AI, infrastructure, and tooling towards the goal of democratizing Generative AI for everyone.
Example projects:




Build a RAG pipeline on top of internal documents.
Create a python library on top of AWS services to enable GenAI for large enterprises.
Open source internal tools.
Implement neural network architecture from newly published papers.
Work on tools which work with fine-tuned models, vector databases, embeddings etc.
Develop more realistic simulations for training our agents.
Design automated methods and tools to prevent common issues with neural network training (e.g. overfitting, vanishing gradients, dead ReLUs, etc).
Create visualizations to help us deeply understand what our networks learn and why.
Qualifications:
Very comfortable writing Python.
Strong data structures, algorithms, and engineering mathematics background.
Familiar with PyTorch and training deep neural networks is preferred but not mandatory
Excited to work on open-source code.
Passionate about engineering best practices.
Self-directed and indep

📌 Data Scientist (Ciudad de México)
🏢 Avahi
📍 Ciudad de México