AI Engineer - Senior Associate - Commercial Technology & Innovation

PricewaterhouseCoopers•Dallas, NY

4d•Onsite

About The Position

As an AI Engineer - Senior Associate - Commercial Technology & Innovation, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. Within our Advisory practice, you will transform raw data into actionable insights, enabling informed decision-making and driving business growth. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work. Embracing increased ambiguity, you will be comfortable when the path forward isn’t clear, asking questions and using these moments as opportunities to grow. In this role, 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. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. This is an opportunity to be part of a dynamic team that is at the forefront of innovation, driving business growth through cutting-edge technology solutions.

Requirements

At least a Bachelor's degree
At least 3 years of experience

Nice To Haves

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 proficiency in AI implementation and machine learning libraries
Utilizing Python and C++ for complex data analysis and modeling
Excelling in developing and managing data pipelines and infrastructure
Applying natural language processing techniques for text analytics
Leveraging TensorFlow and Scikit-Learn for deep learning projects

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 various sources to enhance data quality and infrastructure
Conducting complex data analysis to support informed decision-making
Building and deploying AI and machine learning solutions at scale
Collaborating with clients to understand their needs and deliver tailored AI solutions
Utilizing programming languages such as C++ and Java for software development
Applying natural language processing techniques for text analytics and sentiment analysis
Managing data pipelines and confirming data integrity within analytics frameworks
Mentoring junior team members and guiding them in AI and data engineering tasks