IN_Senior Associate_Gen AI_Data and Analytics_Advisory_Bangalore

Price Waterhouse Coopers · Bengaluru · onsite · Posted 70d ago

Undisclosed2–6 yrsfulltimeSourced from Naukri

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About this role

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 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. "

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 /tensor flow/ 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: Bachelor of Engineering, Master of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Generative AI

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

Available for Work Visa Sponsorship

Government Clearance Required

Job Posting End Date

August 20, 2026

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

Sourced from naukri

Skills

AutomationBedrockAlgorithm developmentclaudeAuroracloud certificationsAzure Aiapisaws bedrockamazon web servicesbigqueryalteryxbusiness dataAnalyticsContainercloudArchitectureAdvanced AnalyticsMicrosoft AzureBig DataArtificial Intelligence

About PwC

Price Waterhouse Coopers

Management Consulting

30k+

employees

1880

146 years old

Bangalore / Bengaluru, Karnataka

India

₹18.4L PA avg

Avg at PwC

About

PwC is a community of solvers combining human ingenuity, experience, technology, and products to help organizations build trust and deliver sustained outcomes.

Industries

Management ConsultingAccounting & Auditing

Employee ratings

10 reviews

3.3/ 5

Culture

2.7

Career growth

2.3

Work-life

1.9

Employees rate it well for

Job Security34Skill Development34

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