IN_Senior Associate_AI Architect _D&A_Advisory_Noida

PwC; Dadri; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

PwC India is seeking a Senior Associate in Advisory, Data, Analytics & AI. You will work on designing ML pipelines, APIs for model inference, and deploying ML/LLM solutions using MLflow, SageMaker, Vertex AI, and Azure AI. Strong DevOps, Kubernetes, Docker, and distributed training skills are essential.

Minimum 3+ years of experience and BE/BTech/MBA/MCA are required. The role emphasizes hands-on data manipulation, visualization, and statistical modelling to drive client outcomes and operational

Qualifications

• Gen AI, LLM, Huggingface, Python, PyTorch/TensorFlow/Keras, Langchain, Langgraph, Docker, Kunernetes are mandatory.
• Master of Business Administration degree required.
• 3+ years of experience.

Responsibilities

• ML Pipeline Design: Design ML pipelines for experiment management, model management, feature management, and model retraining.
• APIs: Design APIs for model inferencing at scale.
• ML Tools: Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI.
• LLM & GPU: LLM Serving and GPU Architecture; deep knowledge of GPU architectures.
• Distributed ML: Expertise in distributed training and serving of large language models.
• Training Frameworks: Proficient in model and data parallel training using DeepSpeed and service frameworks like vLLM.
• Fine-Tuning: Model fine-tuning and optimization techniques to improve latency and accuracy.
• DevOps & LLMOps: Proficient in DevOps and LLMOps; Kubernetes, Docker, container orchestration; Flowise, Langflow, Langgraph.

Skills

Gen AI

LLM

Huggingface

Python

PyTorch

TensorFlow

Keras

Langchain

Langgraph

Docker

Kunernetes

Databricks Platform

Education

BE/B.Tech

MBA

MCA

Master of Business Administration

Tools

Databricks Platform

Job description

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 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: We are looking for…………………………

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.

• 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/tensorflow/keras,Langchain, Langgraph,Docker, Kunernetes

Preferred skill sets:

• SQL,machine learning,data science

Years of experience required:

3+

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

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Databricks Platform

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

July 31, 2026