Agentic AI & ML Engineer: Scalable Data & NLP

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

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401k

Holiday pay

Vacation

Personal and family sick leave

Job summary

PwC's Acceleration Center is seeking an experienced AI/ML Developer Associate to transform raw data into actionable insights for clients in risk and regulatory practice. You will design and deploy scalable AI solutions and data models, collaborating with teams to deliver measurable value.

You will use Python, TensorFlow and Scikit-Learn, perform data wrangling and NLP, and pursue applicable cloud credentials while growing your technical and client-facing skills in a fast-paced environment.

Qualifications

• A Bachelor's degree is required.
• At least 1 year of experience.
• Strong programming foundation in Python and ML libraries.
• Exposure to AI/ML development in a consulting context.

Responsibilities

• Design and implement AI/ML solutions to transform data into insights.
• Develop scalable data models and pipelines for AI systems.
• Build and deploy AI models using Python, TensorFlow and Scikit-Learn.
• Engage in data analysis to inform decision-making and client outcomes.
• Collaborate with teams to deliver high-quality solutions.
• Apply NLP techniques for text analytics and sentiment analysis.
• Develop data infrastructure to support AI initiatives.
• Contribute to open-source AI tooling and platforms.
• Perform data wrangling and preprocessing for ML tasks.
• Iterate on AI systems based on feedback and results.

Skills

Python

Scikit-Learn

TensorFlow

NLP

Data analysis

Data wrangling

Education

Bachelor's degree

Tools

AWS

Google Cloud

Microsoft Azure

Databricks

Snowflake

Job description

PwC's Acceleration Center is seeking an experienced AI/ML Developer Associate to transform raw data into actionable insights for clients in risk and regulatory practice. You will design and deploy scalable AI solutions and data models, collaborating with teams to deliver measurable value.

You will use Python, TensorFlow and Scikit-Learn, perform data wrangling and NLP, and pursue applicable cloud credentials while growing your technical and client-facing skills in a fast-paced environment.