Job Summary

Build production ML systems for real client products: fraud detection, recommendation engines, predictive models.

You'll work on ML systems that ship to production and handle real traffic, not research prototypes. Recent work includes a real-time fraud detection engine and a predictive maintenance platform running across 6 factories.

Responsibilities

- Design and train models for client-specific use cases
- Build the production inference pipeline, not just the notebook
- Work with data engineering to ensure clean, reliable training data
- Explain model behavior and limitations clearly to non-technical stakeholders

Requirements

- 3+ years shipping ML models to production
- Solid Python, comfortable with PyTorch or TensorFlow
- Understanding of MLOps: not just model training but deployment and monitoring

Nice to Have

- Experience with real-time/low-latency inference systems
- AWS SageMaker or similar experience

Disclaimer: This job posting and Location 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.

📌 AI/ML Engineer (India)
🏢 Paroksya
📍 India