Intern AI/ML Data Engineer: Build Scalable AI Pipelines

Teradata Group; México; Presencial; MXN 89.000 - 156.000; A tiempo parcial

Descripción de la vacante

Teradata in Mexico offers an internship program starting in September and ending in March, giving interns the chance to tackle meaningful projects and face new challenges in a fast-paced, flexible environment.

Interns will collaborate with business stakeholders, learn analytics technologies, and apply ML/LLM techniques to real-world data problems, including time series and telemetry anomaly detection, while building scalable models and data pipelines.

Formación

• Currently pursuing a bachelor’s degree or higher in Computer Science, Computer Science & Engineering, Statistics, or related field
• Strong data wrangling skills
• Strong Python and/or SQL skills
• Experience with REST APIs and API integration patterns
• Familiarity with Large Language Model APIs (OpenAI, Anthropic, Azure OpenAI, or similar platforms)
• Understanding of Model Context Protocol (MCP) or similar AI integration frameworks
• Knowledge of prompt engineering and LLM optimization techniques
• Ability to manipulate JSON/XML data
• Experience with other data manipulation platforms
• Experience with XML or SQL

Responsabilidades

• Work with business stakeholders to identify and document high impact business problems and potential solutions
• Learn and use internally available analytic technologies
• Apply machine learning and/or statistical techniques to time series classification and telemetry anomaly detection problems
• Build models at scale using vast amounts of structured and unstructured heterogeneous data
• Integrate Large Language Models (LLMs) into data pipelines and analytics workflows through API interactions
• Implement Model Context Protocol (MCP) frameworks to enable seamless communication between AI models and data systems
• Develop and optimize LLM-powered data analysis tools and natural language interfaces for business users
• Identify key performance indicators and establish strategies on how to deliver on these key points for analysis solutions
• Use educational background in data engineering and perform data mining analysis
• Work with BI analysts/engineers to create prototypes, implementing traditional classifiers and determiners, predictive and regressive analysis points
• Collaborate on AI-enhanced analytics solutions that leverage both traditional ML and modern LLM capabilities
• Engage in the delivery and presentation of solutions
• Participate in data storage architecture design discussions

Conocimientos

Python

SQL

Data wrangling

REST APIs

LLM APIs

MCP

Prompt engineering

JSON/XML

API integration

AI/ML libraries

Educación

Bachelor's degree or higher in CS/CS&E/Statistics or related field

Descripción del empleo

Teradata in Mexico offers an internship program starting in September and ending in March, giving interns the chance to tackle meaningful projects and face new challenges in a fast-paced, flexible environment.

Interns will collaborate with business stakeholders, learn analytics technologies, and apply ML/LLM techniques to real-world data problems, including time series and telemetry anomaly detection, while building scalable models and data pipelines.