Agentic AI & ML Developer, Acceleration Center

PwC; New York (NY); On-site; USD 61,000 - 100,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k

Paid holidays

Vacation

Sick leave

Job summary

PwC in New York seeks an Acceleration Center - Agentic AI and Machine Learning Developer-Experienced Associate to transform raw data into actionable insights, deploying AI models at scale for clients within the Risk & Regulatory practice.

You will design AI systems, wrangle data, and implement software using Python, TensorFlow, and Scikit-Learn, contributing to open-source initiatives while learning from engagements and delivering value through collaborative teamwork.

Qualifications

• Bachelor's degree required.
• At least 1 year of experience.
• Proficiency in Python and Scikit-Learn for ML tasks.
• Experience with TensorFlow and NLP techniques.

Responsibilities

• Design AI/ML solutions to transform data into insights.
• Develop scalable data models and pipelines for AI systems.
• Build and deploy AI models using Python libraries (TensorFlow, Scikit-Learn).
• Perform complex data analysis to inform decisions.
• Collaborate with team to address client challenges and deliver quality solutions.
• Apply NLP techniques for text analytics and sentiment analysis.
• Maintain data infrastructure to support AI initiatives.
• Contribute to open-source AI software development.
• Wrangle and preprocess data for ML applications.
• Help iteratively improve AI systems.

Skills

Python

Scikit-Learn

TensorFlow

NLP

Data pipelines

Data analysis

Communication

Active listening

Education

Bachelor's degree

Tools

Databricks

Snowflake

Job description

PwC in New York seeks an Acceleration Center - Agentic AI and Machine Learning Developer-Experienced Associate to transform raw data into actionable insights, deploying AI models at scale for clients within the Risk & Regulatory practice.

You will design AI systems, wrangle data, and implement software using Python, TensorFlow, and Scikit-Learn, contributing to open-source initiatives while learning from engagements and delivering value through collaborative teamwork.