ADG Senior Analyst (ML Ops-Model Deployment & Monitoring)

Essex Lake Group; Gurugram District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Essex Lake Group in Gurgaon, India, seeks an ADG Senior Analyst to operationalize, deploy and monitor ML models for banking-domain apps. You'll build reliable production workflows, manage releases and track performance to support business use.

You will collaborate with data scientists, deploy models for batch or real-time scoring, and maintain end-to-end pipelines, artifacts, and governance with CI/CD and monitoring controls.

Qualifications

• Strong hands-on proficiency in Python and PySpark.
• Practical experience operationalizing and deploying machine-learning models.
• Sound modeling knowledge, including evaluation metrics, model behaviour, drift and performance interpretation.
• Experience building production scoring pipelines and monitoring model operations.
• Familiarity with model versioning and lifecycle-management tools.
• Experience with CI/CD, automated testing and dependency management.
• Ability to troubleshoot issues across data pipelines, model execution and deployment environments.
• Working knowledge of the banking domain and governance requirements associated with production models.

Responsibilities

• Partner with data scientists to package models and prepare them for production deployment.
• Deploy models for batch scoring or real-time inference based on business requirements.
• Develop production scoring and supporting data pipelines using Python and PySpark.
• Automate deployment validation, versioning and release workflows.
• Manage model artifacts, dependencies, configurations and deployment history.
• Monitor model performance, data drift, scoring failures and operational reliability.
• Implement alerts, troubleshooting procedures, rollback mechanisms and recovery processes.
• Support approved model refreshes and redeployment in collaboration with model owners.
• Work with technology, security and model-governance teams to meet enterprise requirements.
• Maintain deployment documentation, monitoring controls and operational runbooks.

Skills

Python

PySpark

ML Ops

Model deployment

CI/CD

Data pipelines

Banking domain knowledge

Monitoring

Tools

Databricks

Azure

APIs

Containers

Orchestration

Job description

Position: ADG Senior Analyst (ML Ops-Model Deployment & Monitoring)

Experience- 3-5 Years

Location: Gurgaon, India

Work Mode: Work from Office (Monday- Friday)

Time: 2:00 PM 11:00 PM IST

Role Summary

Operationalize, deploy and monitor machine-learning models developed by data-science teams for banking-domain applications. Build reliable production workflows, manage model releases and track model performance to support ongoing business use.

Key Responsibilities

• Partner with data scientists to package models and prepare them for production deployment
• Deploy models for batch scoring or real-time inference based on business requirements
• Develop production scoring and supporting data pipelines using Python and PySpark
• Automate deployment validation, versioning and release workflows
• Manage model artifacts, dependencies, configurations and deployment history
• Monitor model performance, data drift, scoring failures and operational reliability
• Implement alerts, troubleshooting procedures, rollback mechanisms and recovery processes
• Support approved model refreshes and redeployment in collaboration with model owners
• Work with technology, security and model-governance teams to meet enterprise requirements
• Maintain deployment documentation, monitoring controls and operational runbooks

Required Skills & Experience

• Strong hands-on proficiency in Python and PySpark
• Practical experience operationalizing and deploying machine-learning models.
• Sound modeling knowledge, including evaluation metrics, model behaviour, drift and performance interpretation
• Experience building production scoring pipelines and monitoring model operations
• Familiarity with model versioning and lifecycle-management tools
• Experience with CI/CD, automated testing and dependency management
• Ability to troubleshoot issues across data pipelines, model execution and deployment environments
• Working knowledge of the banking domain and the governance requirements associated with production models

Preferred Skills

• Experience with Databricks and Azure-based deployment environments
• Familiarity with APIs, containers and orchestration platforms
• Experience supporting model approvals, audit documentation and controlled releases