Risk Architecture- Agentic AI and Machine Learning Developer- Senior Associate

• Designing and implementing AI and machine learning solutions to transform raw data into actionable insights
• Developing scalable AI systems using advanced algorithms and software engineering techniques
• Collaborating with clients to understand their needs and deliver tailored data solutions
• Utilizing data wrangling and integration skills to prepare data for AI model deployment
• Applying machine learning libraries such as TensorFlow and Scikit-Learn to enhance model performance
• Conducting complex data analysis to inform decision-making and drive business growth
• Building and maintaining data pipelines and infrastructure to support AI initiatives
• Leveraging programming languages like Python and Java for AI system development
• Engaging in continuous learning to stay updated with the latest AI and machine learning advancements
• Mentoring junior team members and guiding them in AI project execution

Do you have experience in Data-driven problem-solving?, * At least a Bachelor's degree

• At least 2 years of experience

What Sets You Apart

• 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
• Utilizing AI implementation and machine learning libraries like TensorFlow and Scikit-Learn
• Demonstrating proficiency in programming languages such as Python and Java
• Excelling in complex data analysis and data modeling techniques
• Navigating ambiguity while building meaningful client connections
• Developing insights through data interpretation and analytical thinking

Pulled from the full job description

• 401(k)
• Health insurance
• Vision insurance
• Dental insurance
• Paid holidays, The salary range for this position is: $77,000 - $202,000. 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

PwC provides services to 420 out of 500 Fortune 500 companies. The firm was formed in 1998 by a merger between Coopers & Lybrand and Price Waterhouse.