ML Ops-Model Deployment & Monitoring
Pineswift Technologies
- Location
- Gurugram, Haryana, India
- Job type
- Full-time
Required skills
- Python
- automated testing
- banking
- Databricks
About the role
Pineswift Technologies
Website:
pineswift.com
Job details:
Greetings
We have a few requirements for ML Ops. PFB the details:
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
Click on Apply to know more.
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