This role focuses on leveraging advanced analytics techniques to help clients optimize operations and achieve strategic goals through data-driven decision-making
Job Summary
This role focuses on leveraging advanced analytics techniques to help clients optimize operations and achieve strategic goals through data-driven decision-making.
You will be responsible for designing ML pipelines, managing model lifecycles, and implementing scalable APIs for large language model inferencing.
PwC offers a vibrant community environment that rewards contributions, supports wellbeing, and provides inclusive benefits and mentorship for professional growth.
Matching Summary
This 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
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
Key Requirements
5-8 years of relevant experience required
Bachelor's degree in Engineering, MCA, BCA, or Master's degree
Proficiency in Python, SQL, and JavaScript languages
Deep knowledge of AWS, Azure, or GCP cloud platforms