Job highlights

- 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
- MLOps & Deployment: Utilization of containerization strategies for ML workloads,experience with model serving tools like TorchServe or TF Serving,and automated model retraining

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

& Summary

. 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.

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 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: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining.
- Cloud & Infrastructure: Solid 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 IN_Senior Associate_ AI/ML Engineer __ Data & Analytics (Bengaluru)
🏢 PwC Acceleration Centers in India
📍 Bengaluru