Manager - Automation

JOB PURPOSE

Role would be responsible to build, deploy, and scale machine learning and AI solutions across GMR’s verticals. This role will build and manage advanced analytics initiatives, predictive engines, and GenAI applications — with a focus on business outcomes, model performance, and intelligent automation. Reporting to the Head of Automation & AI, you will operate in a high-velocity, product-oriented environment with direct visibility of impact across airports, energy, infrastructure and enterprise functions

ORGANISATION CHART

Head- Automation & AI --> Manager-AI & ML --> Reports To --> Position Title

Responsibilities

Key Performance Indicators (KPIs)

AI & ML Development

• Build and deploy models using supervised, unsupervised, and reinforcement learning techniques for use cases such as forecasting, predictive scenarios, dynamic pricing & recommendation engines, and anomaly detection, with exposure to broad enterprise functions and business

• Lead development of models, NLP classifiers, and GenAI-enhanced prediction engines.

• Design and integrate LLM-based features such as prompt pipelines, fine-tuned models, and inference architecture using Gemini, Azure OpenAI, LLama etc.

• Program Plan Vs Actuals

End-to-End Solutioning

• Translate business problems into robust data science pipelines with emphasis on accuracy, explainability, and scalability.

• • Own the full ML lifecycle — from data ingestion and feature engineering to model training, evaluation, deployment, retraining, and drift management.

• Program Plan Vs Actuals