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Associate AI Architect Advisory

PwC India

Bengaluru, Karnataka, IndiaOn Site

Original Job Summary

Overview

At PwC India, the Associate AI Architect Advisory role focuses on leveraging advanced analytics and AI to drive insights and inform business decisions. This role involves designing, implementing, and optimizing ML pipelines and working with large language models on distributed environments.

Responsibilities

  • Design ML pipelines for experiment, model, feature, and retraining management
  • Develop APIs for scalable model inferencing
  • Utilize tools like MLflow, SageMaker, Vertex AI, and Azure AI
  • Implement distributed training and serving for large language models
  • Fine-tune and optimize models for improved latency and accuracy
  • Apply DevOps and LLMOps practices using Kubernetes, Docker, and orchestration frameworks
  • Work with databases such as DynamoDB, Cosmos, MongoDB and more
  • Code in Python, SQL, and JavaScript

Why PwC India?

You will be part of an innovative team committed to data-driven decision-making and trusted advisory outcomes. The role offers inclusive benefits, flexible programs, and opportunities for mentorship and personal growth.

Key Skills/Competency

  • ML Pipeline
  • API Development
  • GPU Architecture
  • LLM Serving
  • Model Optimization
  • DevOps
  • LLMOps
  • Python
  • Data Analysis
  • Cloud Platforms

How to Get Hired at PwC India

🎯 Tips for Getting Hired

  • Customize your resume: Emphasize ML, AI, and DevOps skills.
  • Showcase project experience: Detail pipelines and API developments.
  • Highlight certifications: Mention AWS, Azure, or GCP credentials.
  • Prepare for technical interviews: Brush up on distributed training and Python coding.
  • Research PwC India: Understand their culture and values.

📝 Interview Preparation Advice

Technical Preparation

Review Python and ML libraries.
Practice ML pipeline design scenarios.
Study Kubernetes and Docker deployment.
Update skills on cloud AI platforms.

Behavioral Questions

Describe a team conflict resolution experience.
Explain your approach to problem solving.
Share a time when you exceeded expectations.
Discuss handling high-pressure project deadlines.