LLM - Engineer - Senior Associate
Back to JobsPwC Get Smart Job AI Coach in the appFree on iOS and Android 
LLM - Engineer - Senior Associate
Location
Bangalore • Hyderabad
Experience
Senior
Posted
Jul 7, 2026
Apply by
August 6, 2026
Applicants
0
Early applicantFull-timeWork from Office
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
App exclusive · Free
Smart Job AI Coach
Your personal interview coach on every job — readiness tips, profile improvements, and role-specific prep. Available only in the Pulse Job app.
Interview readiness
See how prepared you are and what to improve for each role.
Personalized tips
Actionable suggestions based on your profile and the job.
After you apply
Keep coaching momentum from job detail through application success.
Similar roles for you
Matched using this role's title and skills. Open the job search anytime to see every listing.
LLM - Engineer - Senior Associate
PwC
Full-timeWork from Office
BangaloreSenior
IN_Senior Associate_AI Engineer_Data and Analytics_Advisory_Bangalore
PwC
Full-timeWork from Office
Bengaluru MilleniaSenior
IN_Senior Associate_AI Engineer_Data and Analytics_Advisory_Bangalore
PwC
Full-timeWork from Office
Bengaluru MilleniaSenior
IN_Senior Associate_AI/ML_Digital Integration_Advisory_Kolkata
PwC
Full-timeEasy applyWork from Office
Kolkata DN 57Senior
IN_Senior Associate_AI/ML Developer _Digital Integration_Advisory_Kolkata
PwC
Full-timeEasy applyWork from Office
Kolkata DN 57Senior

Senior AI Engineer
City FM Australia
Full-timeEasy applyHybrid
Mulgrave VIC 3170Senior