Research Engineering Automation

Teradata Group; Ciudad de México; Presencial; MXN 1,261,000 - 1,623,000; Jornada completa

Descripción de la vacante

A leading analytics company located in Mexico City is seeking a qualified candidate to transform advanced AI and analytics prototypes into production-ready solutions. The role involves collaboration with research engineers and product teams, focusing on building automation frameworks and ensuring engineering quality standards. Ideal candidates will have expertise in Python, Go, or C/C++, strong CI/CD and database design knowledge, and a Master's degree in Computer Science is a plus. Emphasis on a flexible, people-first work culture.

Formación

• Expertise in Python, Go, or C/C++.
• Strong understanding of CI/CD automation tools and GitHub workflows.
• Experience transforming research or prototype code into production-quality software.
• Familiarity with containerization and cloud deployment.

Responsabilidades

• Transform advanced AI and analytics research prototypes into production-ready solutions.
• Build CI/CD pipelines and tooling for operational maturity.
• Collaborate with research engineers and product teams for deployment.

Conocimientos

Python

Go

C/C++

CI/CD automation tools

GitHub workflows

SQL/database design

AI/ML frameworks (TensorFlow, PyTorch, scikit-learn)

AI-assisted development tools

Educación

Master’s degree in Computer Science or equivalent expertise

Descripción del empleo

Our Company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What You’ll Do

In this role you will…

• Transform advanced AI and analytics research prototypes into production-ready, scalable, and maintainable solutions that can be confidently deployed to customers.
• Strengthen the connection between research and real-world delivery by improving code quality, documentation, testability, and operational maturity across research outputs.
• Build automation frameworks, CI/CD pipelines, and tooling that enable the organization to scale through technology rather than headcount.
• Establish and uphold engineering quality standards that ensure successful and consistent transitions from prototype to production.
• Achieve success by enabling Teradata’s research innovations to reliably reach customers in the form of robust, high-performance systems.

Who You’ll Work With

On our team, we…

• Operate within the Office of the Chief Technology Officer (OCTO), focusing on applied AI, advanced analytics, and emerging technology prototypes.
• Play a critical role in accelerating the translation of research concepts into customer-ready capabilities for Teradata’s product and service organizations.
• Collaborate closely with research engineers, product teams, and service delivery teams to align technical direction, architectural decisions, and deployment needs.
• This position reports directly to the VP of Advanced Research within OCTO.

What Makes You a Qualified Candidate

• Expertise in Python, Go, or C/C++.
• Strong understanding of CI/CD automation tools, GitHub workflows, and SQL/database design.
• Demonstrated ability to write clean, testable, well-documented code.
• Experience working with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Practical experience using AI-assisted development tools (e.g., GitHub Copilot, Claude).

What You’ll Bring

• Experience transforming research or prototype code into production-quality software.
• Familiarity with distributed systems, scalability patterns, and performance optimization.
• Experience with containerization, cloud deployment, or infrastructure-as-code workflows.
• Background in research, innovation teams, or model-deployment pipelines.
• Understanding of AI governance, ML testing frameworks, and responsible-AI principles.
• Master’s degree in Computer Science or equivalent expertise is a plus.
• Contributions to open-source projects or a strong public portfolio.
• Knowledge of inference optimization or productionizing machine learning systems.

Why We Think You'll Love Teradata

We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.