Job Title: Machine Learning Engineer – Forecasting & Analytics

Experience: 4-7 Years

Location: Hyderabad

Employment Type: Full time

Overview

Responsible for traffic forecasting, congestion modeling, anomaly detection, and KPI modeling.

Responsibilities

- Develop:

○ ARIMA-based models

○ XGBoost forecasting models

○ LSTM-based sequence models

- Build corridor-level forecasting pipelines
- Implement congestion probability estimation
- Develop seasonal and peak-hour pattern detection
- Work with historical traffic sensor data
- Develop incident clustering algorithms
- Build model evaluation and drift monitoring

Required Skills

- Python
- PyTorch, Tensorflow, ML deployment experience
- Time-series modeling
- Feature engineering for traffic signals
- Statistical modeling
- Data Analysis

Preferred

● Experience with Foundation Models and Model Quantisation

● Experience with NVIDIA Triton, TAO Toolkit or Spark

● Experience with MLflow

● Experience with real-time inference pipelines

Pay: Up to ₹1,500,000.00 per year

Perks:

- Provident Fund

Work Location: In person

📌 Machine Learning Engineer – Forecasting & Analytics (India)
🏢 Virtualmaze Softsys
📍 India