Intern -- AI/ML Data Engineer

Our company

At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.

Our Internship Program

Our Mexico Intern program starts in September ending in March. We offer a fast-paced, flexible, fun environment where you will have the opportunity to work on meaningful projects and face new challenges. Our culture isn’t just about one kind of person. So many individuals make up who we are, making us that much more unique. This is what sets apart the dynamic, diverse, and collaborative environment that is Teradata. 

What You'll Do

• 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 types of 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 

Who You'll Work With

As the recognized leader in data and analytics, Teradata is all about empowering high-impact business outcomes to unleash the potential of great companies. We focus every day on helping customers build lasting analytic capabilities and drive differentiated value through our flexible delivery of analytics at scale on an agile data foundation. Our mission is to build out the world-class analytics ecosystem for the industry leader for mega-scale Analytics platforms. Teradata is looking for engineers with a passion for taming enterprise data at scale with innovative technologies, built on robust application frameworks, to accelerate delivery and simplify operations. Leverage your skills in building analytics applications to drive Teradata's business and provide a reference architecture for the future of the Analytics Ecosystem. 

What Makes You a Qualified Candidate

• 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 

What You’ll Bring

• Preferred: Experience with AI/ML libraries (e.g., LangChain, OpenAI SDK, transformers) 

• Preferred: Understanding of vector databases and embedding techniques 
• Ability to commit to a 10-12 weeks internship 

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