IN_Senior Associate_ AI/ML Engineer _ Data & Analytics _ Advisory _Bangalore

PwC South Africa; Bengaluru; Hybrid; Confidential; Full time

Job summary

PwC is seeking a senior Data Scientist (AI/ML) with 4–8 years of experience to join our data and analytics practice in a hybrid work setting. You will lead AI/ML initiatives, architect GenAI solutions, and develop scalable pipelines using Python, FastAPI, microservices, and modern cloud infrastructure.

Deep expertise in ML lifecycle and LLM optimization is required. You will collaborate with clients to deliver strategic insights, leverage advanced analytics, and drive business outcomes while

Qualifications

• At least 4+ years of total & relevant experience in AI/ML or a related field.
• Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation.
• Expertise in feature engineering, embedding optimization, and dimensionality reduction.
• Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing.
• Experience with RAG systems, vector databases, and semantic search implementation.
• Proficiency in LLM optimization techniques including quantization and knowledge distillation.
• Understanding of MLOps practices for model deployment and monitoring.

Responsibilities

• Lead AI/ML initiatives and architect GenAI solutions within PwC Data & Analytics.
• Develop and deploy AI/ML models using Python, FastAPI, and microservices.
• Design and optimize LLM pipelines and vector DB integrations for performance.
• Implement CI/CD, containerization, and scalable cloud infrastructure.
• Collaborate with cross-functional teams to translate business problems into AI solutions.

Skills

Python

FastAPI

Microservices

Kubernetes

RAG

VectorDBs

ML frameworks

Cloud (AWS/GCP/Azure)

LLM optimization

Data analytics

Education

B.Tech / M.Tech / MCA/MBA

Bachelor of Engineering

Tools

Git

MLflow

Spark

Terraform

CloudFormation

Jenkins

Docker

Kubernetes

vLLM / FastAPI

TorchServe / TF Serving

Job description

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Job Description & Summary

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 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. We are seeking an experienced Data Scientist (AI/ML) with over 4-8 years of experience specializing in Artificial Intelligence (AI) and Machine Learning (ML) to join our team. This is a position with hybrid work environment, providing flexibility and collaboration opportunities. The successful candidate will play a pivotal role in shaping and leading AI/ML initiatives within our organization.

Responsibilities

• Advanced proficiency in Python.
• Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques
• Experience with big data processing using Spark for large-scale data analytics
• Version control and experiment tracking using Git and MLflow
• Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing.
• DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations.
• LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management.
• MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining.
• Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems.
• LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security.
• General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP.
• Experience in creating LLD for the provided architecture.
• Experience working in microservices based architecture.

Required Skills

• At least 4+ years of total & relevant experience in AI/ML or a related field.
• Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation
• Expertise in feature engineering, embedding optimization, and dimensionality reduction
• Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing
• Experience with RAG systems, vector databases, and semantic search implementation
• Proficiency in LLM optimization techniques including quantization and knowledge distillation
• Understanding of MLOps practices for model deployment and monitoring

Preferred Qualifications

prior experience in industries leveraging AI/ML technologies would be advantageous.

Mandatory skill sets

GenAI / LLM Engineers (Python, FastAPI, Microservices, K8s, RAG, VectorDBs) preferred skill sets: AI/ML Machine Learning GEN AI Agentic AI

Years of experience required

Experience: 4-8 Years Education qualification: B.Tech / M.Tech / MCA/MBA Education (if blank, degree and/or field of study not specified)

Education qualification

B.Tech / M.Tech / MCA/MBA

Degrees/Field of Study required

Bachelor of Engineering

Required Skills Agentic AI Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture Development, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 24 more}

Travel Requirements Not Specified

Available for Work Visa Sponsorship? No

Government Clearance Required? No

Job Posting End Date June 23, 2026

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 can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.