**_This is us_**
At Avenga, we believe that human creativity empowers technology that matters.
Operating globally, our ****+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.
**_This is the job_**
We are looking for a **Data Analytics & BI** expert with a **strong focus on Machine Learning** and **Generative AI**, based in **Mexico City** to join our team, working on citizen security systems in Latin America.
This is an opportunity to make a significant impact on public safety infrastructure, working with cutting-edge data technologies in a challenging and rewarding environment.
**_ This is the team_**
**_
This is you_**
- +3 years in model implementation: Neural Networks, SVM, Decision Trees, Clustering (K-means, DBSCAN), Time Series and Random Forest.
- +3 years in statistical analysis of various sources for the extraction of insights.
- +2 years working with SQL and NoSQL databases.
- +2 years of experience in Cloud platforms (GCP, Azure, AWS or Cloudera).
- +1 verifiable year in integration of LLMs, agent architectures and RAG/CAG techniques.
- Expert command of Python and use of training accelerators (GPU/TPU).
Nice-to-have skills:
- Solid Training:



Advanced knowledge in Mathematics (Algebra, Probability and Statistics).
- Function engineering (Feature Engineering) and data variability management in Big Data environments.
**_ This is your role_**
- **AI Model and Algorithm Development**: Design, develop, and implement **Machine Learning models**(Supervised, Unsupervised, and Reinforcement Learning) for the optimization of security and telecommunications systems.
- Build advanced architectures using **Neural Networks**, **SVMs**, **Decision Trees**, and Random Forests for the prediction and classification of critical events.
- **Generative AI (GenAI) Implementation**: Integrate **Large Language Models** (LLMs) into company workflows, developing intelligent agent architectures.
- Implement and optimize **Retrieval-Augmented Generation** (**RAG**) and **Computer-Augmented Generation** (**CAG**) techniques to improve the accuracy and context of AI-generated responses.
- **Data Management and Analysis (Big Data & BI)**:Manage the variability and volume of data in Big Data environments (Cloudera, GCP, Azure, or AWS), ensuring data integrity and availability.
- **Infrastructure and Databases**: Design and maintain complex queries in SQL and NoSQL databases for data extraction to train models.

📌 Middle Data Analytics & Bi (México)
🏢 Avenga
📍 México