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 workplace with direct visibility of impact across airports, energy, infrastructure and enterprise functions

ORGANISATION CHART
Head- Automation & AI --> Manager-AI & ML --> Reports To --> Position TitleKEY ACCOUNTABILITIES
ResponsibilitiesKey Performance Indicators (KPIs)AI & ML DevelopmentBuild and deploy models using supervised, unsupervised, and reinforcement learning techniques for use cases such as forecasting, predictive scenarios, energetic pricing & recommendation engines, and anomaly detection, with exposure to broad enterprise functions and businessLead 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 ActualsEnd-to-End SolutioningTranslate business problems into robust data science pipelines with emphasis on accuracy, explainability, and scalability.⢠Own the full ML lifecycle â from data ingestion and feature engineering to model training, evaluation, deployment, retraining, and drift management.Program Plan Vs ActualsCloud , ML & data EngineeringDeploy production-grade models using AWS, GCP, or Azure AI platforms and orchestrate workflows using tools like Step Functions, SageMaker, Lambda, and API Gateway.Build and optimise ETL/ELT pipelines, ensuring smooth integration with BI tools (Power BI, QlikSense or similar) and business systems.⢠Data compression and familiarity with cloud finops will be an advantage, have used some tools like kafka, apac

📌 Manager Automation Hyderabad
🏢 GMR Group
📍 Hyderabad