AI Engineer - Associate 2

Overview

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.

The Opportunity

When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the Data and Analytics Engineering team you will collaborate with data scientists and product teams to build resilient AI systems that drive enterprise innovation. As an Associate you will focus on learning and contributing to impactful projects while developing your skills in AI engineering and operationalizing advanced technologies. This role offers a unique chance to engage in transformative AI initiatives, allowing you to deepen your technical knowledge and build meaningful connections within a fast-paced environment.

Responsibilities

• Collaborate with data scientists and product teams to develop AI systems
• Engage in projects that enhance skills in AI engineering
• Contribute to the operationalization of advanced technologies
• Build technical knowledge through participation in transformative initiatives
• Foster meaningful connections within a dynamic work environment
• Analyze data to inform the development of innovative solutions
• Support the implementation of resilient systems that drive innovation
• Adapt to rapidly changing project requirements and challenges
  
  

What You Must Have

• Master's Degree in Computer Science, Engineering, Econometrics, Statistics, Business Analytics, Informatics
• 2 years of experience
• Oral and written proficiency in English required
  
  

What Sets You Apart

• Proficiency in cloud platforms: Azure, AWS, or GCP
• Experience deploying and maintaining LLM-based applications
• Understanding of containerization and orchestration
• Managing and monitoring ML lifecycle experience
• Familiarity with CI/CD pipelines and infrastructure-as-code tools
• Knowledge of data pipelines using tools like Apache Airflow
• Exposure to logging and observability tools
• Experience with serverless deployments and GPU-enabled compute instances