IN_Associate _ Gen AI_ Data Analytics_ Advisory_ Gurgaon
PWC
0 - 3 years
Gurugram
Posted: 09/11/2025
Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
AssociateJob Description & Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
Job Description & Summary: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
Responsibilities:
Key Responsibilities · Design and implement Gen AI applications using LLMs (e.g., GPT, Claude, Llama) and multimodal models. · Develop prompt engineering strategies, fine-tune models, and optimize outputs for accuracy and relevance. · Build and deploy AI pipelines for text, image, audio, and video generation. · Integrate AI models into existing systems using APIs (OpenAI, Anthropic, Hugging Face, etc.). · Collaborate with product, design, and engineering teams to translate business needs into AI-driven features. · Conduct experiments, perform model evaluation, and improve performance using RLHF, embeddings, and retrieval-augmented generation (RAG). · Stay updated on emerging trends in AI research, model architectures, and generative technologies. · Ensure compliance with ethical AI practices, data privacy, and model governance policies.
Mandatory skill sets:
· Strong hands-on experience with Python, PyTorch, TensorFlow, or Transformers (Hugging Face). · Familiarity with LLM APIs, vector databases (e.g., FAISS, Pinecone), and RAG frameworks (e.g., LangChain, LlamaIndex).
Preferred skill sets:
· Experience building chatbots, copilots, or AI assistants. · Contributions to open-source AI projects or published research in AI/ML.
Years of experience required: 3-7
Education qualification : B.Tech / M.Tech / MBA / MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Generative AI, Python (Programming Language), PyTorchOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
About Company
PricewaterhouseCoopers (PwC) is a global professional services firm providing audit, tax, and consulting services. PwC helps organizations manage financial risks, comply with regulations, and improve performance through its expertise in industries like finance, healthcare, and technology.
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