IN-Manager _AI Architect _ GCC_ Advisory_ Noida

PwC

Dadri

On-site

INR 1,800,000 - 3,200,000

Full time

3 days ago

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Job summary

PwC India is seeking an experienced AI Architect to join our data and analytics practice. You will design and optimize ML pipelines, build scalable APIs for model inference, and lead GPU-accelerated deployment of large language models.

You will work with teams across advisory services to translate complex data into actionable business insights, applying cutting-edge tools such as MLflow, Vertex AI, SageMaker, and Kubernetes in a collaborative, impact-driven environment.

Qualifications

Gen AI,LLM, Huggingface, python,pytorch/tensor flow/keras, Langchain, Langgraph, Docker, Kunernetes
Experience with ML pipelines, model management and feature management.
Proficient with MLflow, Vertex AI, SageMaker and Azure AI.

Responsibilities

ML Pipeline Design: design ML pipelines for experiment management, model management, feature management, and model retraining.
LLM Serving and GPU Architecture: distributed training and serving of large language models.
Model Fine-Tuning and Optimization: improve latencies and accuracies; optimize training resources.
DevOps and LLMOps Proficiency: Kubernetes, Docker; Flowise, Langflow, Langgraph.

Skills

LLM

Hugging Face OSS LLMs

Python

SQL

Javascript

Docker

Kubernetes

Langchain

Langgraph

LangFlow

Flowise

SageMaker

Vertex AI

AWS Bedrock

Azure AI

Big Data

Education

BE/B.Tech

MBA

MCA

Master of Business Administration

Tools

MLflow

Langchain

Langraph

LangFlow

Flowise

LLamaIndex

SageMaker

AWS Bedrock

Vertex AI

Azure AI

Kubernetes

Docker

Job description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

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 for our 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 for each other. Learn more about 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.

Job Description & Summary: AI Architect

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.

Skill Matrix

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.
Cloud Knowledge: AWS/Azure/GCP
Dev Ops (Knowledge): Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus
Cloud Certifications (Bonus): AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert
Proficient in Python, SQL, Javascript

Mandatory skill sets

Gen AI,LLM, Huggingface, python,pytorch/tensor flow/keras, Langchain, Langgraph, Docker, Kunernetes

Preferred skill sets

SQL,machine learning, data science

Years of experience required

Education qualification

BE/B.Tech/MBA/MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required

Master of Business Administration

Required Skills

JavaScript Object Notation (JSON)