IN_Senior Associate_AI Engineer_GCC_Advisory_Noida

PwC; Dadri; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

PwC is seeking an AI engineer at senior associate level to leverage data analytics for client solutions. The role focuses on developing ML pipelines, LLM deployments, and scalable inferencing across cloud platforms.

You will collaborate with cross-functional teams in Advisory data analytics to drive insights and deliver data-driven decisions. Relevant experience with distributed training and modern AI tooling is expected.

Qualifications

• Experience with Gen AI, LLMs and related frameworks.
• Strong data manipulation, modelling and analytics capabilities.
• Experience with ML pipelines and model deployment.

Responsibilities

• Design ML pipelines for experiment and model management.
• Develop APIs for scalable model inferencing.
• Implement LLM serving and GPU-accelerated training.
• Apply DevOps and LLMOps practices for production readiness.
• Work with multiple cloud services and databases to support data analytics.

Skills

Gen AI

LLM

HuggingFace

Python

PyTorch

TensorFlow/Keras

LangChain

LangGraph

Docker

Kubernetes

Education

B.Tech/MCA/BCA/M.tech

Bachelor/Master of Engineering

Tools

MLflow

SageMaker

Vertex AI

Azure AI

DeepSpeed

vLLM

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 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.

AI Engineer Level: Senior Associate Location: Noida,Bangalore Skill: Gen AI,LLM, Huggingface, python,pytorch/tensor flow/keras, Langchain, Langgraph, Docker, Kunernetes

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

• AI Engineer

Years of experience required

5-8 years

Education qualification

B.Tech/MCA/BCA/M.tech

Degrees/Field of Study required

Bachelor of Engineering, Master of Engineering

Required Skills

Generative AI

Optional Skills

• 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}

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

August 25, 2026