Agentic AI and Machine Learning Developer – Experienced Associate

PwC

Risk Architecture AI and ML Developer transforming raw data into actionable insights and driving business growth. Engaging in client projects while developing technical expertise in AI and machine learning.

Posted 6/17/2026full-timeNew York City • Florida, Illinois, New Jersey, New York, Texas • 🇺🇸 United StatesJuniorMid-Level💰 $61,000 - $100,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudJavaPythonScikit-LearnTensorflow

About the role

Key responsibilities & impact

Designing and implementing AI and machine learning solutions to transform raw data into actionable insights
Developing and deploying scalable AI models using programming languages such as Python and Java
Collaborating with team members to integrate AI systems into existing data infrastructure
Conducting complex data analysis to identify patterns and inform decision-making processes
Utilizing machine learning libraries like TensorFlow and Scikit-Learn to enhance model performance
Building and maintaining data pipelines to support AI and machine learning initiatives
Engaging in data wrangling and data quality assessments to improve data reliability
Applying natural language processing techniques to develop advanced text analytics solutions
Participating in client support activities to address AI-related challenges and opportunities
Continuously learning and adapting to new AI technologies and methodologies to drive innovation

Requirements

What you’ll need

At least a Bachelor's degree
Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
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 Java programming languages
Utilizing machine learning libraries such as TensorFlow and Scikit-Learn
Engaging in complex data analysis and pattern recognition
Applying AI implementation skills in client-facing environments
Developing neural network models for advanced AI solutions

Benefits

Comp & perks

medical
dental
vision
401k
holiday pay
vacation
personal and family sick leave
annual discretionary bonus

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI solutionsmachine learningPythonJavadata analysisTensorFlowScikit-Learndata pipelinesnatural language processingneural network models

Soft Skills

collaborationclient supportproblem-solvingadaptabilityinnovation

Certifications

data engineeringmachine learningcloud platforms