AI Engineer (A2) – Canada Data & Analytics
KPMG Global Services · Bengaluru
| Company | KPMG Global Services |
|---|---|
| Role | AI Engineer (A2) – Canada Data & Analytics |
| Location | Bengaluru |
| Work mode | On-site |
| Experience | 1–3 years |
| Job type | Full-time |
| Qualification | Bachelor's or Master's degree in Computer Science |
About this job
KPMG Global Services is hiring an AI Engineer at A2 level in Bengaluru for its Canada Data & Analytics team. You will design AI-driven data ingestion and real-time processing that supports analytics and machine learning across the stack.
The role builds ETL and ML pipelines, streaming solutions with Kafka and Spark, back-end services and UIs that connect to AI models. It also covers deploying models, joining a support rotation and following data governance rules.
Eligibility
- 2 to 4 years of software engineering experience
- Strong Python, Java and C++ plus TensorFlow or PyTorch
- Good knowledge of ML, deep learning and NLP
- Back-end frameworks such as FastAPI, Flask or Django
- Front-end skills with React or Angular
Skills required
What you will do
- Build AI-driven data ingestion and real-time processing
- Deploy and support code and ML models in production
- Develop ETL, scripts and ML pipelines
- Build streaming solutions with Kafka and Spark
- Ensure data lineage, quality checks and classification
How to apply
- Open the official KPMG Global Services job page with the Apply button and submit your application there.
- Tailor your resume to AI or data pipelines you built, models you deployed and the full-stack parts you worked on.
Before the interview, prepare:
- Streaming: Kafka topics and Spark Structured Streaming for real-time scoring
- Model deployment: wrapping a model in FastAPI and monitoring it
- NLP basics: tokenisation, embeddings and transformer models
- Data governance: lineage, quality checks and classifying sensitive data
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