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PwC India

Bengaluru · Hybrid · 4-7 Yrs · Oct 1

27 open roles7 posted in 7d27 in 30d

Hiring: Engineering

Job description

Hybrid

Overview

Line of Service Advisory

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

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
Data Engineering
Optional Skills
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship
Government Clearance Required
Job Posting End Date
February 18, 2026

Nice to have

prior experience in industries leveraging AI/ML technologies would be advantageous.
AI/ML
Machine Learning
GEN AI
Agentic AI

Education

B.Tech / M.Tech / MCA/MBA
Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)

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Job application FAQ

Last updated 11 October 2026

How do I apply for IN_Senior Associate_ AI/ML Engineer__GCC_ Advisory _Bangalore at PwC India?: Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. PwC India may attach structured assessments to interview rounds after you apply.
Does Feedback AI show a match score for this IN_Senior Associate_ AI/ML Engineer__GCC_ Advisory _Bangalore role?: Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
Is IN_Senior Associate_ AI/ML Engineer__GCC_ Advisory _Bangalore remote or on-site in Bengaluru, Karnataka?: This listing is marked hybrid with location Bengaluru, Karnataka. Confirm details on the job description before applying.
What skills matter for this IN_Senior Associate_ AI/ML Engineer__GCC_ Advisory _Bangalore role at PwC India?: Key skills for this role include Hybrid. Upload a resume to see which requirements you already meet and which are gaps.