IN_Senior Associate_Gen AI_Data and Analytics_Advisory_Bangalore

PwC Service Delivery Center; Bengaluru; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

PwC Service Delivery Center in Bengaluru seeks a Senior Associate to drive data analytics and advanced ML initiatives. You will leverage ML pipelines, APIs for inference, and cloud ML platforms to extract insights and guide client decisions.

Responsibilities include designing ML pipelines, scalable APIs, and model fine-tuning. You will work with teams on MLflow, SageMaker, Vertex AI, and Azure AI while optimizing GPU-based training and deployment.

Qualifications

• Experience with end-to-end ML pipelines and model lifecycle management.
• Ability to design APIs for scalable inference and deployment.
• Expertise with multiple cloud ML platforms (MLflow, SageMaker, Vertex AI, Azure AI).
• Strong knowledge of GPU architectures and distributed training for large models.

Responsibilities

• ML pipeline design for experiment, model, feature management and retraining.
• Design APIs for model inference at scale.
• Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI.
• LLM serving and GPU architecture; deep knowledge of GPU acceleration.
• Expertise in distributed training and serving of large language models.
• Proficiency in model fine-tuning and optimization to reduce latency and improve accuracy.
• DevOps and LLMOps practices; Kubernetes, Docker, container orchestration.
• Familiarity with LLM orchestration tools like Flowise, Langflow, Langgraph.
• LLM: Hugging Face OSS LLMs, GPT, Gemini, Claude, Llama.
• LLM Ops: Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, Bedrock, Vertex AI, Azure AI.
• Databases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostgreSQL, Spanner, BigQuery.

Skills

ML pipelines

APIs for inference

MLflow

SageMaker

Vertex AI

Azure AI

GPU architectures

distributed training

DeepSpeed

vLLM

fine-tuning

DevOps

LLMOps

Kubernetes

Docker

Flowise

Langflow

Langgraph

Hugging Face LLMs

Llama

Langchain

LlamaIndex

AWS Bedrock

Tools

DynamoDB

Cosmos

MongoDB

PostgreSQL

MySQL

BigQuery

Job description

Line of Service Advisory

Industry/Sector Not Applicable

Specialism Data, Analytics AI

Management Level Senior Associate

Job Description Summary

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.

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 serving of large 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 expertise in model fine-tuning and optimization techniques.
• Achieve better latencies and accuracies in model results.
• Reduce training and resource requirements for fine-tuning LLM and LVM models.
• DevOps and LLMOps Proficiency: Proven expertise in DevOps and LLMOps practices.
• Knowledgeable in Kubernetes, Docker, and container orchestration.
• Deep understanding of LLM orchestration frameworks like Flowise, Langflow, and Langgraph.
• LLM: Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama
• LLM Ops: ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AI
• Databases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, Google BigQuery.