Senior Associate - Artificial Intelligence and Machine Learning Engineer

PriceWaterhouseCoopers Pvt Ltd ( PWC ); Bengaluru; Hybrid; INR 4,000,000 - 6,500,000; Full time

Benefits offered by this job

Flexible work arrangements

Mentorship

Wellbeing programs

Job summary

PwC is seeking an experienced Data Scientist (AI/ML) with 4–8 years of experience to lead AI/ML initiatives in a hybrid setup. The role focuses on GenAI, LLMs, and large-scale data analytics to deliver enterprise insights and drive business results for clients and communities.

Qualified candidates will have strong Python proficiency, experience with LLM frameworks, Spark, and MLOps practices. Collaborative culture, mentorship, and flexibility are offered.

Qualifications

• 4–8 years of AI/ML or related field experience.
• Deep understanding of ML and LLM lifecycle, incl. fine-tuning and evaluation.
• Experience with RAG systems, vector databases, and semantic search.
• Proficiency in LLM optimization techniques including quantisation and distillation.
• Understanding of MLOps for deployment and monitoring.

Responsibilities

• Develop AI/ML architectures and GenAI solutions using Python.
• Lead AI/ML initiatives and work with cross-functional teams.
• Work with microservices, Go or Rust, and CI/CD pipelines.
• Optimize LLMs for performance and security, using vector databases.

Skills

Python

Hugging Face

LangChain

Spark

Git

MLflow

Terraform

Kubernetes

FastAPI

vLLM

TorchServe

TF Serving

AWS

GCP

Azure

ML/Ops

SQL

Education

B.Tech

M.Tech

MCA

MBA

Tools

Terraform

Kubernetes

MLflow

Git

Docker

FastAPI

vLLM

TorchServe

TF Serving

HuggingFace

LangChain

Spark

Job description

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 specialising 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: Utilisation of containerisation 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 optimising 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 optimisation, 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 optimisation techniques including quantisation 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: 4-8 Years

Education qualification: B.Tech / M.Tech / MCA/MBA

Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration

Degrees/Field of Study preferred: Bachelor of Engineering, Master of Business Administration

Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Digital Tooling, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity {+ 28 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 26, 2026

Experience Level Senior Level