This role focuses on leveraging advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making for clients
Job Summary
This role focuses on leveraging advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making for clients.
Candidates will be responsible for designing ML pipelines, optimizing LLM performance, and implementing robust LLMOps practices using industry-standard tools.
PwC offers a vibrant community that supports personal growth through mentorship, inclusive benefits, and flexibility programmes designed to help employees thrive.
Matching Summary
This role focuses on leveraging advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making for clients.
Skills & Requirements
Must-have
Gen AI and Large Language Models
Python programming with PyTorch or TensorFlow
ML pipeline design using MLflow and SageMaker
LLM orchestration frameworks like Langchain and Langgraph
Container orchestration with Kubernetes and Docker
GPU architecture and distributed training expertise
Nice-to-have
Experience with OLTP and OLAP environments
Knowledge of Kafka and Hadoop ecosystems
Azure DevOps CI/CD integration skills
Agile delivery methodologies experience
Understanding of cloud certifications in AWS or Azure
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