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GenAI Python Systems Engineer – Experienced Associate

PwC
Salt Lake City, USA
Full-time
Associate
Onsite
$63,000–$140,000
Discovered 1 months ago
PythonGenerative AIMachine learningScikit-learnData pipelinesData modeling

Full Job Posting

Role overview

Build and deploy AI and machine learning solutions at scale within PwC's Data and Analytics Engineering practice.

Design AI systems, perform data wrangling, and implement software for scalable AI models.

Develop client data solutions that turn raw data into actionable insights.

Responsibilities

  • Design and implement AI systems using Python and machine learning libraries, including Scikit-learn.
  • Develop data pipelines and models for client insights.
  • Support AI-driven automation and cognitive solutions with team members.
  • Analyze complex data to identify patterns and inform decisions.
  • Build scalable AI and machine learning solutions and ensure data quality and integrity.
  • Use feedback to improve team performance and build commercial awareness.
  • Follow professional and technical standards, firm conduct rules, and independence requirements.

Must-have qualifications

  • At least a bachelor's degree.
  • At least 1 year of experience.

Additional qualifications

  • Preferred fields of study include Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, or Engineering.
  • At least one certification aligned to data engineering, machine learning, or cloud platforms is required; examples include AWS, Google Cloud, Microsoft Azure, Databricks, and Snowflake.
  • The posting identifies Python and Scikit-learn proficiency, client-facing AI implementation, data analysis and modeling, and adaptability as relevant qualifications.

Compensation and benefits

  • Salary range is $63,000–$140,000; actual compensation depends on skills, experience, qualifications, location, and applicable laws.
  • Eligible employees may receive an annual discretionary bonus and benefits including medical, dental, vision, 401(k), paid holidays, vacation, and leave.

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