AI Engineer

About the Role

As an AI Engineer at PwC, you will be instrumental in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within the Internal Firm Services practice, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. This role offers a chance to deepen your technical skills and contribute to the firm's overall business strategies.

Key Responsibilities

• Designing and implementing AI systems to transform raw data into actionable insights.
• Developing scalable machine learning models using Python and TensorFlow.
• Integrating data from diverse sources to support AI and machine learning solutions.
• Conducting complex data analysis to identify patterns and trends for informed decision-making.
• Collaborating with internal teams to enhance data infrastructure and integration processes.
• Utilizing natural language processing techniques to improve text analytics and sentiment analysis.
• Applying deep learning and neural network methodologies to optimize AI model performance.
• Managing data pipelines to validate efficient data flow and processing.
• Building and maintaining relationships with stakeholders to align AI initiatives with business objectives.
• Mentoring junior team members in AI implementation and data engineering practices.

Requirements & Tech Stack

• Proficiency in Python and TensorFlow.
• Experience with AI implementation and machine learning libraries.
• Skills in complex data analysis and data modeling.
• Ability to navigate ambiguity with critical thinking and problem-solving.
• Experience in building meaningful client connections and managing relationships.

Qualifications

• At least a Bachelor's degree or, in lieu of a degree, demonstrating three years of specialized training and/or progressively responsible work experience in Engineering with AI and Machine Learning for each missing year of college.
• At least 2 years of experience.
• Experience in one or more of the following fields of study: Computer and Information Science, Computer Engineering, Computer Management, Management Information Systems, Information Technology.
• Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials.