IN_Senior Associate_Gen AI_Data and Analytics_Advisory_Bangalore

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

Job summary

PwC India is seeking a Senior Associate in Data, Analytics & AI to design ML pipelines, APIs for scalable model inference, and manage large-scale LLM deployments. You will leverage MLflow, cloud AI services, and GPU architectures to drive performance while collaborating with cross-functional teams.

You will work within Advisory Data & Analytics, applying advanced analytics, data manipulation and visualization to solve complex business problems for clients.

Qualifications

• Experience with Generative AI and ML systems.
• Proficient in Python, SQL and data engineering basics.
• Familiarity with ML Ops and container orchestration.
• Exposure to cloud AI services (AWS/Azure/GCP).

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 with distributed training and optimization.

Skills

Generative AI

Python

SQL

Docker

Kubernetes

Langchain

Langflow

Langgraph

Pytorch

TensorFlow

HuggingFace

MLflow

Vertex AI

Education

Bachelor of Engineering

Master of Engineering

MBA

MCA

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 serving oflarge 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
• 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 oflarge 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, 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

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Education Qualification

BE/ B.Tech /MBA /MCA

Education

Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering

Mandatory skill sets

• GenAI,LLM , Huggingface , python,pytorch /tensor flow/ keras , Langchain , Langgraph , Docker ,Kunernetes

Preferred skill sets

• SQL,machine learning, data science

Years of experience required

3 +

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

Travel Requirements

Available for Work Visa Sponsorship

Government Clearance Required

Job Posting End Date

September 18, 2026