GenAI Python Systems Engineer - Experienced Associate

PwC
Raleigh, NC, United States
2 days ago
Apply on www.techcareers.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
1 year minimum
Compensation
$63,000.0 - $140,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Data Analysis Systems Engineering Microsoft Azure Cloud Computing Information Systems Information Engineering Python (Programming Language) Machine Learning Product Software Implementation Methods Data Processing
+9 more
Google Cloud Snowflake Scikit Learn Information Technology Data Analytics Data Pipelines Software Library Databricks Programming Languages

Job description

As an Associate, you will focus on learning and contributing to client engagements while developing your skills and knowledge to deliver quality work. You will adapt to working with a variety of clients and team members, each presenting unique challenges and opportunities for growth. You are expected to take ownership and consistently deliver work that drives value for our clients and success as a team, building a personal brand and opening doors to more opportunities.

In this role at PwC, you will engage in designing AI systems, data wrangling, and software implementation to enable scalable AI models. You will be part of a fast-paced environment, where every experience is an opportunity to learn and grow, contributing to the firm’s success and your professional development., * Designing and implementing AI systems using Python and machine learning libraries such as Scikit-Learn

  • Developing data pipelines and models to transform raw data into actionable insights for clients
  • Collaborating with team members to support AI-driven automation and cognitive solutions
  • Conducting complex data analysis to discern patterns and inform decision-making
  • Applying programming languages to build scalable AI and machine learning solutions
  • Confirming data quality and integrity throughout the development process
  • Engaging in active listening and accepting feedback to enhance personal growth and team performance
  • Building commercial awareness by understanding how the business works and its impact on client solutions
  • Upholding professional and technical standards, including the Firm’s code of conduct and independence requirements

Requirements

What You Must Have

  • At least a Bachelor’s degree
  • At least 1 years of experience, * 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 Python and Scikit-Learn for machine learning
  • Utilizing AI implementation skills in client-facing projects
  • Engaging in complex data analysis and data modeling
  • Applying machine learning libraries to enhance data-driven solutions
  • Adapting to fast-paced environments with diverse client needs

Benefits & conditions

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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.techcareers.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:42 min

Choosing specialized libraries beyond scikit-learn

Adrian Schmitt · LIVE

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

6:38 min

Coding decision trees in scikit-learn

Adrian Schmitt · LIVE

2:50 min

Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

Videos

See all

Related articles

See all