At PwC, the business and technical problem is to leverage advanced technologies and techniques, specifically AI and machine learning, to design and develop robust data solutions for clients, transforming raw data into actionable insights, enabling informed decision-making, and driving business growth. This involves developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems and lead the AI-enabled transformation of the organization.
Requirements
- Designing, training, and deploying machine learning models
- Working with LLM's and familiarity with tools like LangChain, LlamaIndex, or LangGraph for RAG pipelines and agent orchestration
- Skilled in data preprocessing and handling large structured/unstructured datasets using tools like Pandas and NumPy
- Developing scalable, cloud-native microservices using Docker and Kubernetes
- Building end-to-end AI applications integrated into various platforms
- Proficiency in Python and React with expert software engineering practices (modular design, testing, OOP, algorithms)
- ML/AI fundamentals with hands-on experience in PyTorch, TensorFlow, or JAX; capable of end-to-end model development and deployment
Responsibilities
- Work with cross-functional teams to incorporate AI into various applications
- Designing, training, and deploying machine learning models
- Working with LLM's and familiarity with tools like LangChain, LlamaIndex, or LangGraph for RAG pipelines and agent orchestration
- Skilled in data preprocessing and handling large structured/unstructured datasets using tools like Pandas and NumPy
- Developing scalable, cloud-native microservices using Docker and Kubernetes
- Building end-to-end AI applications integrated into various platforms
- Deploying on cloud platforms like AWS, GCP, Azure using services like SageMaker, Vertex AI, or Databricks
Other
- Enhancing your leadership style, you motivate, develop and inspire others to deliver quality.
- You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations.
- Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
- Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
- Inspire and motivate team members to excel in their contributions
