Machine Learning Engineer – Forecasting & Analytics

Role Overview

Responsible for traffic forecasting, congestion modeling, anomaly detection, and KPI modeling. This is a full-time position based in Hyderabad requiring 4-7 years of experience.

Responsibilities

• Develop ARIMA-based models, XGBoost forecasting models, and 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

Requirements

• 4-7 years of professional experience
• Proficiency in Python
• Experience with PyTorch or Tensorflow
• Strong background in Time-series modeling and statistical modeling
• Expertise in feature engineering and data analysis

Skills

• Python
• PyTorch
• Tensorflow
• Time-series modeling
• XGBoost

Nice to Have

• Experience with Foundation Models and Model Quantisation
• Experience with NVIDIA Triton, TAO Toolkit or Spark
• Experience with MLflow
• Experience with real-time inference pipelines

Benefits

• Provident Fund