Position : Senior Analyst (ML Ops : Model Deployment & Monitoring)Experience : 3 - 5 yearsLocation : Gurgaon, IndiaWork mode : Work from office, Monday to FridayWorking hours : 2 : 00 PM to 11 : 00 PM ISTDomain : Banking / financial servicesThe Role : Take machine-learning models from data science into reliable production for banking clients : deploy, monitor and maintain them with robust controls.What You'll Do : - Package and deploy models with data scientists, for batch or real-time scoring.- Build production scoring and data pipelines in Python and PySpark.- Automate validation, versioning and release workflows.- Monitor model performance, drift and failures; set up alerts, rollback and recovery.- Partner with technology,



security and governance teams.- Maintain deployment documentation and runbooks.What You Bring : - Strong Python and PySpark skills.- Hands-on experience deploying ML models and building production scoring pipelines.- Sound grasp of evaluation metrics, drift and model performance.- CI/CD, automated testing and model versioning experience.- Strong troubleshooting across data pipelines and deployment environments.- Banking domain knowledge and model governance awareness.Nice to Have : - Databricks and Azure experience.- APIs, containers and orchestration platforms.- Experience with model approvals and audit documentation. (ref:hirist.tech)

📌 Senior Analyst - MLOps (Gurugram)
🏢 MantriAI
📍 Gurugram