IN_Manager_Data Scientist_GCC_Advisory_Noida

PwC; Dadri; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

PwC, a leading firm in Advisory, Data, Analytics & AI, seeks a Manager to leverage data and analytics to drive client value. You will design ML pipelines, APIs for scalable model inferencing, and oversee training/serving of LLMs using MLflow, SageMaker, Vertex AI, and Azure AI.

You will work on GPUs, distributed training, and MLOps, applying Python, SQL, and related tools to extract insights from large datasets and enable data‑driven decisions for diverse clients.

Qualifications

• Experience designing ML pipelines and APIs for model inferencing at scale.
• Hands-on with MLflow, SageMaker, Vertex AI and Azure AI.
• Strong knowledge of DevOps practices for LLMs and distributed systems.

Responsibilities

• ML pipeline design for experiment management, model management, feature management and retraining.
• Design APIs for model inferencing at scale.
• Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI.
• LLM serving and GPU architectures; deep knowledge of GPU architectures.
• Distributed training and serving of large language models; DevOps/LLMOps.

Skills

GenAI

LLM

Huggingface

Python

Pytorch/TensorFlow/Keras

Langchain

Langgraph

Docker

Kunernetes

Education

BE/B.Tech/MBA/MCA

Tools

Kubernetes

Docker

FluentD

Kibana

Grafana

Prometheus

Python

SQL

Jupyter

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.

*WhyPWC

AtPwC, 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.

AtPwC, 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.

• ProvenexpertisewithMLflow, SageMaker, Vertex AI, and Azure AI.

• LLM Serving and GPU Architecture:

• Possess deep knowledge of GPUarchitectures.

• Expertisein distributed training andservingoflarge language models.

• Proficient in model and data parallel training using frameworks likeDeepSpeedand service frameworks likevLLM.

• Model Fine-Tuning and Optimization:

• Demonstrate provenexpertisein model fine-tuning and optimization techniques.

• Achieve better latencies andaccuraciesin model results.

• Reduce training and resource requirements for fine-tuning LLM and LVM models.

• DevOps andLLMOpsProficiency:

• Provenexpertisein DevOps andLLMOpspractices.

• Knowledgeable in Kubernetes, Docker, and container orchestration.

• Deep understanding of LLM orchestration frameworks likeFlowise,Langflow, andLanggraph.

• 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, GoogleBigQuery.

• 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:

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

Preferred skill sets:

• SQL,machinelearning,data science

Years of experiencerequired:

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, AI Fluency, AI-Human Collaboration, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, 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 {+ 46 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

August 20, 2026