LLM - Engineer - Manager

The Opportunity

When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the Data and Analytics team you will lead the development and implementation of innovative GenAI solutions that drive business transformation. As a Manager you will motivate and inspire your team to deliver quality results while managing client accounts and fostering meaningful relationships. Join us at PwC US - Acceleration Center and be part of a dynamic environment where your knowledge in GenAI technologies will shape the future of AI-driven solutions.

Responsibilities

• Lead the creation and execution of innovative GenAI solutions
• Inspire and motivate team members to achieve exceptional outcomes
• Manage client relationships and promote satisfaction with deliverables
• Foster a collaborative environment that encourages creativity and innovation
• Utilize knowledge in GenAI technologies to drive business transformation
• Oversee project timelines and resource allocation for favorable results
• Mentor team members to enhance their skills and professional growth
• Implement industry practices for quality assurance and continuous improvement
  
  

• Bachelor's Degree
• 7 years of experience
• Oral and written proficiency in English required
  
  

• Master's Degree in Data Science, Computer Science, Statistics
• Relevant certifications in data science or GenAI technologies
• Excelling in programming with Python, R, or Scala
• Skilled in machine learning libraries like TensorFlow and PyTorch
• Demonstrating experience in data preprocessing and feature engineering
• Understanding cloud computing platforms such as AWS or Azure
• Knowledgeable in data visualization tools and techniques
• Leading and mentoring teams of 5–10 members
• Experience in consulting engagements with client stakeholders