Senior Associate Agentic AI and Machine Learning Developer

PWC

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NYDallas, TXTampa, FLPhiladelphia, PAFlorham Park, NJ
Salary
$77,000–$202,000 / yr
Posted
45 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $211k
This role $140k
$55k most similar roles pay here $285k

This role pays less than 93% of similar roles. Most pay $175,162–$246,150 — the shaded band above. At the midpoint, this role pays about $140k versus about $211k for comparable roles.

Based on 239 similar postings.

Employer

About PWC

PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting

PWC currently has 105 open roles on FindRole.

Listed pay typically runs $99,000–$232,000 across 103 roles with salary data.

Most-posted roles

View all roles at PWC

At a glance

TL;DR · Senior Associate Agentic AI and Machine Learning Developer

As an Acceleration Center- Agentic AI and Machine Learning Developer- Senior Associate within the Risk & Regulatory practice, you will transform raw data into actionable insights to drive business growth. You will design, build, and deploy scalable AI and machine learning solutions while managing complex data wrangling tasks and developing software systems using advanced algorithms. Your daily work involves building and maintaining data pipelines, integrating diverse data sources, and implementing natural language processing tools for text analytics. To succeed in this role, you must be proficient in Python and Java, and utilize libraries such as TensorFlow and Scikit-Learn to optimize model performance. You will also leverage cloud platforms like AWS, Google Cloud, or Microsoft Azure while mentoring junior team members to ensure high technical standards across all projects within the risk management domain.

What you'll do

  • Design and implement AI and machine learning solutions to transform raw data into actionable insights.
  • Develop scalable software and platform systems using advanced algorithms and data engineering techniques.
  • Build and deploy AI models using programming languages such as Python and Java.
  • Integrate data from various sources to improve data quality and infrastructure.
  • Build and maintain data pipelines to streamline processing and analysis.
  • Apply machine learning libraries like TensorFlow and Scikit-Learn to optimize model performance.
  • Develop innovative text analytics solutions using natural language processing tools.
  • Mentor junior team members in their technical and professional development.

What we're looking for

  • Must have at least a Bachelor's degree.
  • Must have at least 2 years of experience.
  • Preferred degree in Analytics, Data Science, AI/Robotics, Computer Science, Information Systems, or Engineering.
  • Proficiency in Python and Java for complex data analysis and modeling.
  • Experience with machine learning libraries such as TensorFlow and Scikit-Learn.
  • Expertise in data integration, pipeline development, and natural language processing.
  • Preferred certifications in data engineering, machine learning, or cloud platforms like AWS, Google Cloud, Azure, Databricks, or Snowflake.

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