IN_Senior Associate_AI Engineer_GCC_Advisory_Chennai

Price Waterhouse Cooper LLP; Chennai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

PwC in India (Chennai) seeks an AI Engineer/Senior Associate to design ML pipelines, manage experiments, and optimize models using frameworks like PyTorch, TensorFlow, and Hugging Face. You will work with Docker/Kubernetes, LangChain, and cloud services to deliver scalable AI solutions.

The role demands 5–8 years of experience, a B.Tech/MCA/BCA/M.Tech, and hands-on skills in ML Ops and data analytics in a consulting context.

Qualifications

• 5–8 years of relevant experience.
• Bachelor or higher in engineering/computing fields (B.Tech/MCA/BCA/M.Tech).
• Proficiency in Python and ML frameworks.
• Experience with cloud platforms and ML pipelines.

Skills

Gen AI

LLM

Hugging Face

Python

PyTorch

TensorFlow

Keras

LangChain

LangGraph

Docker

Kubernetes

Education

B.Tech/MCA/BCA/M.tech

Tools

Docker

Kubernetes

MLflow

SageMaker

Job description

Job Description:

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.

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

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, flexibilityprogrammesand 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

Job Description & Summary: AI Engineer

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

Years of experience required: 5-8 years

Education qualification: B.Tech/MCA/BCA/M.tech

Education

Degrees/Field of Study required: Bachelor of Technology

Degrees/Field of Study preferred:

Certifications

(if blank, certifications not specified)

Required Skills

Project Management

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, 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 {+ 41 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

September 20, 2026