AI Engineer- Experienced Associate- Commercial Technology & Innovation

PwC; Atlanta (GA); On-site; USD 63,000 - 140,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k

Holiday pay

Vacation

Sick leave

Job summary

PwC is seeking an AI Engineer- Experienced Associate in the Commercial Technology & Innovation space. You will design and deploy AI/ML software for clients, wrangle data, and build scalable data pipelines while collaborating with client teams.

The role emphasizes learning and contributing to client engagements, growing technical expertise, and delivering high-quality work. You will apply data, algorithms, and software engineering to create AI systems at scale, working with Python, TensorFlow,

Qualifications

• At least a Bachelor’s degree.
• At least 1 year of experience.

Responsibilities

• Design and implement AI systems to transform data into insights.
• Develop and deploy ML models using Python and TensorFlow.
• Build and maintain data pipelines and infrastructure for AI solutions.
• Perform complex data analysis to inform decisions and drive growth.
• Collaborate with cross-functional teams to deliver scalable AI solutions.

Skills

Python

TensorFlow

C++

Java

NLP

Sentiment analysis

Data analysis

Education

Bachelor's degree

Tools

Databricks

Snowflake

AWS

Google Cloud

Azure

Scikit-Learn

Job description

The Opportunity

As an AI Engineer- Experienced Associate- Commercial Technology & Innovation, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. Within our Advisory - Other practice, you will transform raw data into actionable insights, enabling informed decision-making and driving business growth. As an Associate, you will focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful client connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources.

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. You will be expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope, using these experiences as opportunities to learn and grow.

Responsibilities

• Designing and implementing AI systems to transform raw data into actionable insights
• Developing and deploying machine learning models using Python and TensorFlow
• Building and maintaining data pipelines and infrastructure to support AI solutions
• Conducting complex data analysis to inform decision-making and drive business growth
• Integrating data from various sources to enhance data quality and model accuracy
• Utilizing programming languages such as C++ and Java for AI software development
• Applying natural language processing techniques for text analytics and sentiment analysis
• Collaborating with cross-functional teams to deliver scalable AI solutions
• Engaging in continuous learning to adapt to new technologies and methodologies
• Supporting client engagements by providing technical expertise in AI and machine learning

What You Must Have

• At least a Bachelor's degree
• At least 1 years of experience

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
• Excelling in AI implementation and complex data analysis
• Utilizing programming languages such as Python and C++
• Developing machine learning models using TensorFlow and Scikit-Learn
• Engaging in natural language processing and sentiment analysis
• Building data pipelines and confirming data quality

The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.