GenAI Engineer - Associate

PwC México; México; In loco; MXN 420.000 - 660.000; Tempo pieno

Descrizione del lavoro

PwC México is seeking a GenAI Engineer - Associate to apply data, algorithms, and software engineering to build and deploy AI/ML solutions that support client needs.

You will focus on learning, adapting to varied project demands, and building your technical skills within our Data and Analytics Engineering practice.

Competenze

• Bachelor's degree required.
• 1–3 years of experience.
• Oral and written proficiency in English.
• Strong foundation in Python and ML.
• Experience with data wrangling and NLP is a plus.

Mansioni

• Building and deploying AI/ML solutions that transform data into insights for clients.
• Designing data wrangling workflows and preprocessing pipelines for model development.
• Applying Python and ML libraries to develop, test, and refine AI components.
• Supporting data integration, modeling, and pipeline development in cloud analytics environments.
• Implementing NLP, text analytics, and pattern recognition for business use cases.
• Validating data quality and model inputs from multiple sources.
• Contributing to client-facing teams with clear communication and adaptability.
• Learning new tools and standards while delivering reliable work.

Conoscenze

Python

Machine learning

NLP

Data analysis

English proficiency

Formazione

Bachelor's degree

Strumenti

AWS

Google Cloud

Microsoft Azure

Databricks

Snowflake

Descrizione del lavoro

The Opportunity

Join our Acceleration Center Mexico and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands‑on learning, cutting‑edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a GenAI Engineer - Associate you will apply data, algorithms, and software engineering to build and deploy AI and machine learning solutions that support client needs. As an Associate you will focus on learning, adapting to varied project demands, contributing to team delivery, and building your technical skills while working within our Data and Analytics Engineering practice. In this role at PwC, you will support system design, data preparation, model implementation, and solution testing across a range of GenAI work, while developing your understanding of how scalable AI platforms can translate data into actionable insights and practical business value.

Responsibilities

• Building and deploying AI and machine learning solutions that transform raw data into usable insights for client needs
• Designing data wrangling workflows and preprocessing pipelines to prepare structured and unstructured data for model development
• Applying Python, machine learning libraries, and programming languages to develop, test, and refine AI components
• Supporting data integration, modeling, and pipeline development across cloud-based analytics and engineering environments
• Implementing natural language processing, text analytics, and pattern recognition methods to address business use cases
• Validating data quality and model inputs by gathering information from multiple sources and interpreting patterns in the results
• Contributing to AI-human collaboration efforts by adapting solutions to different client contexts and technical requirements
• Learning new tools, methods, and technical standards while taking ownership of assigned tasks and delivering reliable work

What You Must Have

• At least a Bachelor's degree
• At least 1 - 3 years of experience
• Oral and written proficiency in English required

What Sets You Apart

• Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
• At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
• Demonstrating academic projects in Python, machine learning, or NLP
• Applying curiosity to generative AI, data pipelines, and model evaluation
• Supporting client-facing teams through clear communication and active listening
• Adapting quickly across changing priorities, tools, and delivery needs