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PwC Service Delivery Center
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IN-Senior Associate_GenAI_Data and Analytics

IN-Senior Associate_GenAI_Data and Analytics

PwC Service Delivery Center

5 - 8 years

7 - 10 Lacs

Hyderabad

Posted:3 weeks ago| Platform:

Apply

Skills Required

Computer science Data analysis Data management Data modeling Analytical Machine learning Data processing Data quality Natural language processing Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

& 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 decisionmaking 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.

Why PWC

& Summary As an Advanced Analytics and Generative AI Developer, you will harness the power of large language models (LLMs), machine learning, natural language processing (NLP), and statistics to design, develop, and deploy advanced AI solutions. You will have a crucial role in optimizing generative AI models to improve business processes across various fields, working collaboratively with crossfunctional teams to integrate these models into scalable, secure cloudbased applications.

Responsibilities

Design and develop advanced generative AI applications, including agentbased chatbots, RAG applications, natural language processing systems, automated content creation tools, and texttoimage transformation technologies etc. Optimizing generative AI applications, including model finetuning, data management, and infrastructure enhancements to improve efficiency and performance. Deploy AI applications on cloud platforms, with a preference for Azure or AWS, ensuring robustness and security. Conduct advanced prompt engineering and model finetuning to tailor AI models to specific business applications. Collaborate closely with crossfunctional teams to embed AI models into existing business frameworks effectively. Stay informed on the latest advancements in generative AI, machine learning, NLP, and analytics technologies.

Mandatory skill sets

Comprehensive knowledge of machine learning, NLP, and statistical methodologies. Proficiency in Python, with a robust background in API integration, data processing, and managing AI model outputs. Familiarity with AI frameworks such as LangChain, LangGraph, Hugging Face Transformers, or similar tools. Excellent teamwork and communication skills to facilitate effective collaboration.

Preferred skill sets

Experience with vector databases like FAISS or Pinecone for semantic search and retrievalaugmented generation. Awareness of ethical AI practices, including bias mitigation and model fairness. Experience in developing cloudnative solutions and leveraging big data technologies.

Years of experience required

58 years of experience in AI model development, with a strong emphasis on generative AI.

Education qualification

B.Tech / M.Tech (Computer Science, Mathematics & Scientific Computing etc.)

Education

Degrees/Field of Study required Master of Business Administration, Bachelor of Technology, Master of Science

Degrees/Field of Study preferred

Required Skills

Generative AI

Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more}

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