IN_Senior Associate_Gen AI_Data and Analytics_Advisory_Bangalore

PwC India; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Benefits offered by this job

Mentorship programs

Flexible benefits

Job summary

PwC India is seeking a Senior Associate in Data, Analytics & AI to design ML pipelines for experiment management, model management and feature management. You will work on APIs for model inference, LLM serving and optimization across GPUs, using tools like MLflow, SageMaker, Vertex AI and Azure AI.

Responsibilities include building scalable ML pipelines, optimizing training and inference, and leveraging Kubernetes and container orchestration for LLM workloads.

Qualifications

• Experience designing ML pipelines for experiment management, model management, feature management, and retraining.
• Proven expertise with MLflow, SageMaker, Vertex AI and Azure AI.
• Strong knowledge of GPU architectures and distributed training for large language models.

Responsibilities

• ML Pipeline Design: Design ML pipelines for experiment management, model management, feature management, and model retraining.
• LLM Serving and GPU Architecture: Possess deep knowledge of GPU architectures and distributed training of large language models.
• Proficient in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM.
• DevOps and LLMOps: Knowledgeable in Kubernetes, Docker, and container orchestration; familiarity with Flowise, Langflow, Langgraph.

Skills

ML pipelines

Model management

Feature management

Model retraining

APIs for inference

LLM Serving

GPU Architecture

Distributed training

DeepSpeed

vLLM

Kubernetes

Docker

Container orchestration

Flowise

Langflow

Langgraph

DynamoDB

Cosmos

MongoDB

RDS

MySQL

PostGreSQL

Aurora

Spanner

Google BigQuery

AWS Professional Solution Architect

AWS Machine Learning Specialty

Azure Solutions Architect Expert

MLflow

SageMaker

Vertex AI

Azure AI

Tools

MLflow

SageMaker

Vertex AI

Azure AI

Job description

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

* Why PWC At PwC , you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences foreach other. Learn moreabout us. At PwC , we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Responsibilities:

• Design ML pipelines for experiment management, model management, feature management, and model retraining.
• Design APIs for model inferencing at scale.
• Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI.
• LLM Serving and GPU Architecture:
• Possess deep knowledge of GPU architectures.
• Expertise in distributed training and servingoflarge language models.
• Proficient in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM.
• Model Fine-Tuning and Optimization:
• Demonstrate proven expertisein model fine-tuning and optimization techniques.
• Reduce training and resource requirements for fine-tuning LLM and LVM models.
• DevOps andLLMOpsProficiency:
• Knowledgeable in Kubernetes, Docker, and container orchestration.
• Deep understanding of LLM orchestration frameworks like Flowise , Langflow , and Langgraph.
• Skill Matrix
• Databases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL , Aurora, Spanner, Google BigQuery.
• Cloud Certifications (Bonus): AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

* Why PWC At PwC , you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences foreach other. Learn moreabout us. At PwC , we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Responsibilities:

• ML Pipeline Design:
• Design ML pipelines for experiment management, model management, feature management, and model retraining.
• Design APIs for model inferencing at scale.
• Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI.
• LLM Serving and GPU Architecture:
• Possess deep knowledge of GPU architectures.
• Expertise in distributed training and servingoflarge language models.
• Proficient in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM.
• Model Fine-Tuning and Optimization:
• Demonstrate proven expertisein model fine-tuning and optimization techniques.
• Achieve better latencies and accuraciesin model results.
• Reduce training and resource requirements for fine-tuning LLM and LVM models.
• DevOps andLLMOpsProficiency:
• Proven expertise in DevOps and LLMOpspractices.
• Knowledgeable in Kubernetes, Docker, and container orchestration.
• Deep understanding of LLM orchestration frameworks like Flowise , Langflow , and Langgraph.
• Skill Matrix
• LLM: Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral,