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DES Artificial intelligence Trainee

Thales

Mexico City permanent

Posted: February 1, 2026

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Quick Summary

Thales' DES Artificial intelligence Trainee is responsible for architecting identity management and data protection solutions for digital security, working with various stakeholders to design and implement secure systems that meet business and government requirements.

Job Description

Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.

Fresh-Out (New Graduate) DES Artificial intelligence Trainee
Polanco, CDMX (Hybrid)
 

Position Summary
Thales is looking for a Fresh-Out DES Artificial intelligence Trainee who is eager to work with real-world use cases to apply AI techniques. This position offers a unique opportunity to address real world challenges by leveraging cutting edge AI techniques, including automation, scripting, and prompt engineering, to enhance various internal process from different domains such as Operations, DevOps, project management and Quality Assurance. The trainee will integrate new AI models, tools, and techniques into our existing AI framework, ensuring alignment with current processes, tools, and practices. 

Key Areas of Responsibility

• Work with real datasets and gain hands-on experience in AI model implementation
• Research on AI methods and tools and apply them to real use cases
• Implement and document AI applications
• Participate in meetings with stakeholders, understand requirements, propose solutions, receive feedback and apply changes accordingly. 
• Provide timely technical support to the project, Review and analyze test protocols, Attend planning meetings, Deliver test results at meetings.

Minimum Qualifications

• RECENT graduate (2025 - 2024) in software engineering, computer science, aeronautics engineering, electronics and telecommunications engineering or any relevant field; and / or equivalent experience. Bachelors, Masters o PhD recent graduates.
• Full time availability (40 hours per week).
• Python Programming, AI tools and techniques.
• Programming Languages: Master languages like Python 
• Basic understanding of data processing and analysis, including visualization tools 
• Fundamental knowledge of machine learning algorithms
• knowledge of Data Visualization tools (Power Bi),  Big Data & Cloud Platforms, Math and Statistics (strong foundation in statistical analysis and modeling), Programing in R for data analysis and model development, machine learning algorithms for predictive modeling, AI tools (MindFlow, n8n, google, OpenAI, LLM ecosystems and APIs), DevOps tools (Atlassian Confluence, Jira, Gitlab, Service Now)
• Intermediate-advanced English proficiency, oral and written.
• Strong communicator and negotiator, analytical, results-oriented, customer-oriented, a strong time manager, autonomous, honest, and empathetic, strong focus on helping customers and ensuring their satisfaction.

If you’re excited about working with Thales, but not meeting the requirements for this position, we encourage you to join our Talent Community!
 

What We Offer

Thales provides an extensive benefits program for all full-time employees working 30 or more hours per week and their eligible dependents, including the following: 

• Elective Health and Dental plans.
• Company paid holidays, vacation days, and paid sick leave.
• Company provided Life Insurance.

Why Join Us?

Say HI and learn more about working at Thales click here.
#LI-Hybrid
#LI-EB1

At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!

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