IN_ Associate_Generative AI_Emerging Business_Advisory_Bangalore

6 Hours ago • 4-8 Years
Research Development

Job Description

At PwC, this role focuses on developing cutting-edge software solutions and driving product innovation, specifically in emerging technologies like Generative AI. The individual will design, build, and deploy generative AI solutions using LLMs (OpenAI, Anthropic, Mistral, LLaMA, Falcon), fine-tune models, and optimize prompt engineering. Responsibilities include implementing ML pipelines with Python and frameworks like PyTorch and LangChain, collaborating with MLOps teams for cloud deployment (Azure/AWS/GCP), and ensuring model robustness and scalability. The role also involves integrating GenAI into enterprise applications and evaluating model performance.
Good To Have:
  • Experience in finetuning models.
  • Experience in SLM.
  • 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.
Must Have:
  • 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.
  • 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)
Perks:
  • Vibrant community of solvers.
  • Purpose-led and values-driven work.
  • Technology-powered environment that drives innovation.
  • Rewards for contributions.
  • Support for wellbeing.
  • Inclusive benefits.
  • Flexibility programmes.
  • Mentorship.
  • Equal employment opportunities without discrimination.

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Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Emerging Technologies

Management Level

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.

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/B.tech/M.tech/MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor Degree

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Generative AI

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Artificial Intelligence, Business Planning and Simulation (BW-BPS), Communication, Competitive Advantage, Conducting Research, Digital Transformation, Emotional Regulation, Empathy, Implementing Technology, Inclusion, Innovation Processes, Intellectual Curiosity, Internet of Things (IoT), Optimism, Product Development, Product Testing, Prototyping, Quality Assurance Process Management, Simulation Modeling, Strategic Technology Planning, Teamwork, Technology Innovation {+ 5 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

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