IN_Senior Associate_ Data Engineering __GCC_ Advisory _Bangalore

Price Waterhouse Cooper LLP; Bengaluru; Hybrid; INR 2,400,000 - 4,200,000; Full time

Job summary

PwC in Mumbai is seeking an experienced Data Scientist (AI/ML) to lead AI/ML initiatives within a hybrid work environment. The role focuses on leveraging data analytics to provide strategic insights and drive informed decision-making for clients.

The candidate should have 4–8 years of AI/ML experience, strong Python and ML framework skills, and familiarity with large language models, MLOps, and cloud platforms. A Bachelor of Engineering is required.

Qualifications

• 4-8 years of AI/ML experience
• Bachelor of Engineering degree
• Experience with Python, FastAPI, Microservices, K8s, RAG and VectorDBs

Responsibilities

• Advanced proficiency in Python.
• Experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering.
• Experience with Spark for large-scale data analytics.
• Version control and experiment tracking using Git and MLflow.
• DevOps: Terraform, CI/CD pipelines (GitHub Actions, Jenkins), and Kubernetes with Helm.
• LLM infra: vLLM, FastAPI, model quantization.
• MLOps: containerization with TorchServe/TF Serving, automated retraining.
• Cloud services across AWS, GCP, Azure and security for ML systems.

Skills

Python

FastAPI

Microservices

Kubernetes

RAG

VectorDBs

HuggingFace Transformers

LangChain

MLflow

Git

AWS

GCP

Azure

Spark

TorchServe

TF Serving

Education

Bachelor of Engineering

Tools

Terraform

GitHub Actions

Jenkins

TorchServe

TF Serving

vLLM

Job description

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.

*WhyPWC

AtPwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach other. Learn more

about us

AtPwC, 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.

Responsibilities

Position: AI/ML Engineer / Senior Associate

Experience: 4-8 Years

Location: Mumbai

Type: Full Time

Certifications: NA

About the Role

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.

Key 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
• 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

Required Skills

• At least 4+ years of total & relevant experience in AI/ML or a related field.

Preferred Qualifications

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

Mandatory skill sets

(Python, FastAPI, Microservices, K8s, RAG, VectorDBs)

Additional skill sets preferred

• AI/ML
• GEN AI
• Agentic AI

Years of experience required

Experience: 4-8 Years

Education

(if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications

(if blank, certifications not specified)

Required Skills

Agentic AI

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, 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, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Digital Tooling, Embracing Change {+ 27 more}

Desired Languages

(If blank, desired languages not specified)