IN_Senior Associate_ AI/ML Engineer_GCC_ Advisory _Bangalore

PwC International; Bengaluru; Hybrid; INR 1,500,000 - 2,000,000; Full time

Job summary

PwC Bengaluru is seeking a Senior Data Scientist (AI/ML) to lead advanced analytics and data governance initiatives. You will work on enterprise data platforms, build LLM-based solutions, and collaborate with cross-functional teams to deliver measurable business impact.

The role emphasizes scalable ML pipelines, MLOps, and cloud-native architectures using Python, Spark, and modern AI tooling. Hybrid work model available in a dynamic consulting environment.

Qualifications

• 4+ years in AI/ML with focus on LLM development lifecycle.
• Strong Python, ML engineering, and cloud experience.
• Experience with MLOps, data governance, and vector databases.

Responsibilities

• Lead AI/ML initiatives and AI/LLM deployment strategies.
• Develop scalable ML pipelines and model monitoring.
• Collaborate with cross-functional teams to translate business needs into analytics solutions.
• Implement data governance, quality controls, and security best practices.

Skills

Python

LLM frameworks

Spark

Git

MLflow

Go / Rust

Kubernetes

Terraform

Cloud platforms

Hugging Face

TensorFlow / PyTorch

FastAPI

MLOps

LLM deployment

Education

Master of Business Administration

Bachelor of Engineering

MCA/MBA

Tools

Hugging Face Transformers

LangChain

Git

MLflow

Terraform

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 management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data governance at PwC, you will focus on establishing and maintaining policies and procedures to optimise the quality, integrity, and security of data. You will be responsible for optimising data management processes and mitigate risks associated with data usage.

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.

Job Description & Summary

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.

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.

Responsibilities

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.

• 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: Utilisation 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

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

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) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified)

Required Skills Data Engineering Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Analytical Thinking, Business Process Management (BPM), Communication, Corporate Governance, Creativity, Data Access Control, Database Administration, Data Governance Training, Data Processing, Data Processor, Data Quality, Data Quality Assessment, Data Quality Improvement Plans (DQIP), Data Stewardship, Data Stewardship Best Practices, Data Stewardship Frameworks, Data Warehouse Governance, Data Warehousing Optimization, Digital Tooling, Embracing Change {+ 20 more} Desired Languages (If blank, desired languages not specified)

Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No

Job Posting End Date February 18, 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.