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  3. LLM - Engineer - Senior Ass...

LLM - Engineer - Senior Associate

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LLM - Engineer - Senior Associate

PwC

Location

Bangalore • Hyderabad

Experience

Senior

Posted

Jul 7, 2026

Apply by

August 6, 2026

Applicants

0

Early applicantFull-timeWork from Office

Sign in to apply on web or download the app for more options.

Job Description

**Industry/Sector** Not Applicable **Specialism** Data, Analytics & AI **Management Level** Senior Associate **Job Description & Summary** The Opportunity Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day. As an LLM - Engineer - Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Data and Analytics Engineering practice, you will focus on leveraging advanced analytics and statistical techniques to extract insights from large datasets and drive data-driven decision-making. You will work on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to help solve complex business problems and inform strategic decisions. As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work. Embracing increased ambiguity, you will be comfortable when the path forward isn’t clear, using these moments as opportunities to grow. In this role at PwC Acceleration Center India, you will leverage your skills to deliver high-quality work, using a broad range of tools and methodologies to generate new ideas and solve problems. You will interpret data to inform insights and recommendations, upholding professional and technical standards. Responsibilities - Designing and developing data solutions to transform raw data into actionable insights - Leveraging advanced analytics and statistical techniques to extract insights from large datasets - Conducting exploratory and descriptive analysis to solve complex business problems - Creating data visualizations to inform strategic decisions and drive business growth - Utilizing machine learning and artificial intelligence to enhance data-driven decision making - Building and managing data pipelines and data lakes for efficient data processing - Implementing data science algorithms and workflows to optimize data analysis - Collaborating with clients to understand their data needs and deliver tailored solutions - Applying programming languages such as C++, R, and MATLAB for data modeling and analysis - Employing tools like TensorFlow and Scikit-Learn for deep learning and predictive modeling - Confirming data quality and integrity throughout the data engineering process - Mentoring junior team members and guiding them in data science methodologies - Navigating complex situations and adapting to changing business contexts - Developing meaningful client relationships to anticipate and address their needs What You Must Have - At least a Bachelor's degree - At least 4 years of experience - Oral and written proficiency in English required What Sets You Apart - Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering - Utilizing advanced data science algorithms and workflows - Navigating complex data analysis and predictive modeling - Excelling in machine learning and deep learning applications - Demonstrating proficiency in programming languages such as C++ and R - Leveraging tools like Scikit-Learn and TensorFlow for AI solutions - Developing insights through data-driven decision making and statistical analysis - End to End Infra to deploy AI model - LLM Framework, LLM Ops - Rag pipeline **Travel Requirements** Not Specified **Job Posting End Date**

Key Responsibilities

  • Designing and developing data solutions to transform raw data into actionable insights
  • Leveraging advanced analytics and statistical techniques to extract insights from large datasets
  • Conducting exploratory and descriptive analysis to solve complex business problems
  • Creating data visualizations to inform strategic decisions and drive business growth
  • Utilizing machine learning and artificial intelligence to enhance data-driven decision making
  • Building and managing data pipelines and data lakes for efficient data processing
  • Implementing data science algorithms and workflows to optimize data analysis
  • Collaborating with clients to understand their data needs and deliver tailored solutions
  • Applying programming languages such as C++, R, and MATLAB for data modeling and analysis
  • Employing tools like TensorFlow and Scikit-Learn for deep learning and predictive modeling
  • Confirming data quality and integrity throughout the data engineering process
  • Mentoring junior team members and guiding them in data science methodologies
  • Navigating complex situations and adapting to changing business contexts
  • Developing meaningful client relationships to anticipate and address their needs

Requirements

  • Bachelor's degree

Skills Required

Data AnalysisStatistical ModelingData VisualizationMachine LearningArtificial IntelligenceData PipelinesData LakesC++RMATLABTensorFlowScikit-LearnPythonEnglishCommunicationCollaborationProblem SolvingAdaptabilityMentoringClient Relationship ManagementLLM FrameworkLLM OpsRag pipelineEnd to End Infra to deploy AI model

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Job Overview

Salary

—

Job Type

Full-time

Experience

Senior

Location

Bangalore • Hyderabad

Application Deadline

August 6, 2026

Total Applicants

0

About PwC

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PwC is a leading company in the Technology sector, known for innovation and employee-centric culture.

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