Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior 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.In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
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
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.).
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:
4-8
Education Details
B.Tech / M.Tech / MBA / MCA
Education
Degrees/Field of Study required: Master Degree, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications
Required Skills
Google Cloud Platform (GCP)Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture Development, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline + 27 moreDesired Languages
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
April 14, 2026More Info
Key Skills
LangChain
RAG frameworks
Hugging Face
vector databases
Pinecone
LLM APIs
FAISS
LlamaIndex
About Company
Are you ready to make a difference Want to unlock new value by applying your unique perspective and talents You can grow exponentially at PwC. Here, you canuncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We'llhelp you grow your skillsthrough challenging, meaningful work so you can go further.
