INSenior AssociateGenerative AIEmerging BusinessAdvisoryNoida

Line of Service

Industry/Sector

Specialism

Management Level

Job Description & Summary

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 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 firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.

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. Collaborate with data engineers and MLOps teams to productionize GenAI models on cloud platforms (Azure/AWS/GCP). 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:

Generative AI (LLMs Transformers) Python PyTorch Hugging Face Transformers Azure/AWS/GCP cloud platforms LangChain or similar orchestration frameworks REST APIs FastAPI Flask ML pipeline tools (MLflow Weights & Biases) Git CI/CD for ML (e.g. Azure ML SageMaker pipelines)

Preferred skill sets:

RAG (Retrieval-Augmented Generation) Vector DBs (FAISS Pinecone Weaviate) Streamlit/Gradio for prototyping Docker Kubernetes (for model deployment) Data preprocessing & feature engineering NLP libraries: spaCy NLTK Transformers

Years of experience required:

4 to 8 years

Education qualification:

B.E/ (if blank degree and/or field of study not specified)

Certifications (if blank certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship

Government Clearance Required

Job Posting End Date