1 day ago
Monterrey, Mexico +2 moreMid Level / Senior
Responsibilities
- Design and develop AI and machine learning solutions that transform raw data into usable insights.
- Build data pipelines, data models, and data integration workflows for scalable AI systems.
- Apply Python, machine learning libraries, and software engineering methods to develop and maintain GenAI capabilities.
- Tune model performance and support deployment across AI platforms and managed service environments.
- Analyze complex data sources, identify patterns, improve model outputs, and provide technical recommendations.
- Support data quality, observability, and platform maintenance across client data and analytics environments.
- Translate business needs into technical requirements for text analytics, natural language processing, and related AI use cases.
- Review assigned workstreams, contribute to deliverables, and guide junior team members as needed.
Requirements
- Bachelor’s degree required.
- At least 3–5 years of experience required.
- Oral and written proficiency in English required.
- Preferred fields of study include analytics/data science, artificial intelligence/robotics, computer science/information systems, or engineering.
- Preferred certifications include credentials aligned to data engineering, machine learning, and cloud platforms such as AWS, Google Cloud, Microsoft Azure, Databricks, or Snowflake.
- Hands-on GenAI development using Python, data pipelines, or cloud services is preferred.
- Experience applying machine learning, natural language processing, or text analytics in client delivery work is preferred.
- Ability to translate business needs into AI solutions, communicate with stakeholders, navigate ambiguity, and manage multiple workstreams is preferred.
Benefits
- Travel requirements are up to 20%.
- The role offers hands-on learning, work with global teams and diverse client challenges, cutting-edge tools, and an inclusive culture.
Categories
Data EngineeringML Engineering
About PwC
PwC is a global network of professional services firms providing assurance, tax, and advisory work for businesses and public-sector clients. It sells project-based and managed consulting, audit, and deals services, and implements and integrates business applications. Formed in 1998 by the merger of Price Waterhouse and Coopers & Lybrand, it is headquartered in London and is one of the Big Four accounting firms.