IN_Senior Associate_Data Scientist_GCC_Advisory_Bangalore

PwC

Bengaluru

On-site

INR 1,500,000 - 2,100,000

Full time

4 days ago

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Job summary

PwC in Bengaluru is hiring a GenAI Engineer to design, develop, and deploy scalable AI solutions using state-of-the-art LLMs and transformer models. You will build intelligent applications, orchestrate model workflows, and integrate GenAI into enterprise systems.

The role requires deep Python, PyTorch, and Hugging Face Transformers expertise, plus hands-on deployment on Azure/AWS/GCP and CI/CD for ML. You will collaborate with data engineers and MLOps to scale GenAI across client projects.

Qualifications

Generative AI with LLMs and Transformers.
Proficiency in Python, PyTorch, and Hugging Face Transformers.
Experience with Azure/AWS/GCP cloud platforms.
Knowledge of LangChain or similar orchestration frameworks.
REST APIs using FastAPI or Flask.
Experience with ML pipelines tools like MLflow and Weights & Biases.
Git and ML CI/CD workflows (Azure ML, SageMaker pipelines).

Responsibilities

Design, build, and deploy GenAI solutions using LLMs (OpenAI, Anthropic, Mistral, or open-source models).
Fine-tune foundation models on domain-specific data.
Develop prompt engineering strategies for accurate responses.
Implement model pipelines with Python and PyTorch; use Transformers/LangChain.
Collaborate with data engineers and MLOps to productionize GenAI on cloud.
Ensure robustness, scalability, and compliance of AI models.
Integrate GenAI into enterprise apps via APIs.
Keep up to date with GenAI research and tools.

Skills

Generative AI

Python

PyTorch

Hugging Face Transformers

Azure

AWS

GCP

LangChain

REST APIs

FastAPI

Flask

MLflow

Weights & Biases

Git

CI/CD for ML

Education

B.E./B.Tech./M.Tech./MCA

Tools

Docker

Kubernetes

LangChain

Azure ML

SageMaker pipelines

FAISS

Pinecone

Weaviate

REST APIs

FastAPI

Flask

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 software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.

In emerging technology at PwC, you will focus on exploring and implementing cutting-edge technologies to drive innovation and transformation for clients. You will work in areas such as artificial intelligence, blockchain, and the internet of things (IoT).

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. "

Job Description & Summary

We are seeking a highly skilled and innovative GenAI Engineer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and deploying scalable Generative AI solutions using state-of-the-art large language models (LLMs) and transformer architectures. This includes building intelligent applications, orchestrating model workflows, and integrating GenAI capabilities into enterprise systems.

This role demands deep expertise in Python, PyTorch, and Hugging Face Transformers, along with hands‑on experience in deploying solutions on Azure, AWS, or GCP. The candidate should be proficient in using orchestration frameworks like LangChain, developing APIs with FastAPI or Flask, and managing ML pipelines using tools such as MLflow or Weights & Biases. Familiarity with CI/CD practices for ML, including platforms like Azure ML or SageMaker Pipelines, is essential.

Responsibilities

Design, build, and deploy generative AI solutions using LLMs such as OpenAI, Anthropic, Mistral, or open-source models (e.g., LLaMA, Falcon).
Fine-tune and customize foundation models using domain-specific datasets and techniques
Develop and optimize prompt engineering strategies to drive accurate and context-aware model responses.
Implement model pipelines using Python and ML frameworks such as PyTorch, Hugging Face Transformers, or LangChain.
Agentic AI implementation expertise using Crew.ai or Lang chain
Collaborate with data engineers and MLOps teams to productionize GenAI models on cloud platforms (Azure/AWS/GCP).
Knowledge on Azure/GCP/AWS AI platform like Azure AI Foundry or GCP Vertex
Ensure robustness, scalability, and compliance of AI models in deployment environments.
Good to have experience in finetuning models
Good to have experience in SLM
Integrate GenAI into enterprise applications via APIs or custom interfaces.
Evaluate model performance using quantitative and qualitative metrics, and improve outputs through iterative experimentation.
Keep up to date with the latest research in GenAI, foundation models, and relevant open-source tools.

Mandatory skill sets