Acceleration Center- Agentic AI and Machine Learning Developer- Experienced Associate

PwC; Dallas (TX); On-site; USD 61,000 - 100,000; Full time

Benefits offered by this job

Bonus potential

Job summary

PwC is seeking an experienced Associate to design and develop AI/ML solutions, focusing on data wrangling, model deployment, and scalable pipelines. You will engage with clients, collaborate with teams, and contribute to open-source efforts, all while delivering high-quality results.

The role emphasizes learning, client exposure, and growing technical expertise within PwC's Risk & Regulatory practice in a fast-paced environment.

Qualifications

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

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 TensorFlow and Scikit-Learn.

Skills

Python

Active listening

Communication

Team collaboration

Education

Bachelor's degree

Tools

TensorFlow

Scikit-Learn

Python

Job description

The Opportunity

As an Acceleration Center- Agentic AI and Machine Learning Developer- Experienced Associate, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Risk & Regulatory practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, applying data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale.

As an Associate, you will focus on learning and contributing to client engagements and projects, developing your skills and knowledge to deliver quality work. You will be exposed to clients to learn how to build meaningful connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources. In this role at PwC, you will design AI systems, engage in data wrangling, and implement software to enable scalable AI models, all while adapting to a fast-paced environment and diverse client needs. Embrace the opportunity to learn and grow, taking ownership of your development and consistently delivering work that drives value for our clients and success as a team.

Responsibilities

• Designing and implementing AI and machine learning solutions to transform raw data into actionable insights
• Developing scalable data models and pipelines to support AI systems and enhance data integration
• Utilizing programming languages such as Python and machine learning libraries like TensorFlow and Scikit-Learn to build and deploy AI models
• Engaging in complex data analysis to identify patterns and inform decision-making processes
• Collaborating with team members to address client challenges and deliver quality solutions
• Applying natural language processing techniques to improve text analytics and sentiment analysis
• Building and maintaining data infrastructure to support AI and machine learning initiatives
• Participating in the development of open-source software solutions to advance AI capabilities
• Conducting data wrangling and preprocessing to prepare datasets for machine learning applications
• Contributing to the continuous improvement of AI systems through feedback and iterative development

What You Must Have

• At least a Bachelor's degree
• At least 1 years of experience

What Sets You Apart

• Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
• 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 Scikit-Learn for machine learning tasks
• Utilizing TensorFlow and Neural Networks for advanced AI implementations
• Applying Natural Language Processing (NLP) techniques for text analytics
• Developing data pipelines and integration strategies for complex data environments
• Excelling in active listening and communication to enhance team collaboration

The salary range for this position is: $61,000 - $100,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.