The role focuses on leveraging advanced analytics techniques to help clients optimize operations and achieve strategic goals through data-driven decision-making
Job Summary
The role focuses on leveraging advanced analytics techniques to help clients optimize operations and achieve strategic goals through data-driven decision-making.
Candidates will design scalable ML pipelines and APIs for model inferencing while utilizing deep knowledge of GPU architectures for large language models.
PwC offers a vibrant community environment that rewards contributions, supports wellbeing, and provides inclusive benefits and mentorship for professional growth.
Matching Summary
The role focuses on leveraging advanced analytics techniques to help clients optimize operations and achieve strategic goals through data-driven decision-making.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Gen AI and Large Language Models (LLM)
Python programming with PyTorch/TensorFlow/Keras
ML pipeline design using MLflow and SageMaker
GPU architecture and distributed training expertise
Kubernetes and Docker container orchestration
Langchain, Langgraph, and Flowise frameworks
Nice-to-have
Experience with OLTP and OLAP environments
Knowledge of Kafka and Hadoop ecosystems
Azure DevOps CI/CD integration experience
Agile delivery methodologies proficiency
AWS Professional Solution Architect certification
Strong analytical thinking and communication skills
Key Requirements
5-8 years of professional experience required
Bachelor's degree in Engineering or Master's in Business Administration
Proficiency in Python, SQL, and JavaScript languages