AI Engineer- Experienced Associate- Commercial Technology & Innovation

PwC South Africa; New York (NY); On-site; Confidential; Full time

Job summary

PwC South Africa seeks an AI Engineer- Experienced Associate to design and deploy AI/ML solutions for clients. You will build data pipelines, apply NLP and sentiment analysis, and collaborate with cross-functional teams to deliver scalable AI platforms.

Strong Python and ML framework experience is required. As an Associate, you will learn on client engagements, develop your technical knowledge, and contribute to advisory projects across commercial technology and innovation.

Qualifications

• Bachelor's degree required.
• Minimum 1 year of experience in AI/ML or related field.
• Proficiency with Python and ML frameworks (TensorFlow, Scikit-Learn).
• Experience building data pipelines and using NLP techniques.

Responsibilities

• Design and deploy AI/ML solutions for clients.
• Develop and productionize data pipelines and models.
• Apply NLP and sentiment analysis to real-world data.
• Collaborate with cross-functional teams to deliver scalable AI.
• Continuously learn new technologies and best practices.

Skills

AI implementation

Data analysis

NLP

Sentiment analysis

Data pipelines

Python

C++

Java

TensorFlow

Scikit-Learn

Cloud platforms

Education

Bachelor's degree

Tools

Python

TensorFlow

Scikit-Learn

C++

Java

AWS

Google Cloud

Microsoft Azure

Databricks

Snowflake

Job description

Industry/Sector Not Applicable Specialism Data Science Management Level Associate Job Description & Summary 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

Travel Requirements

• Up to 40%

Job Posting End Date

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.

As PwC is an equal 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.

To view other PwC job opportunities, visit pwc.com/careers.