ML Ops Senior Engineer

About the role

Iris Software is seeking an ML Ops - Senior Engineer to join its Data & AI practice, helping enterprise clients across financial services, healthcare, transportation & logistics, and professional services realize technology-enabled transformation. Based in Noida, UP, India, you will design and implement scalable CI/CD frameworks, model deployment architectures, and monitoring solutions that automate the ML lifecycle and improve production readiness. Day-to-day work includes leading automated ML pipeline implementation, establishing model registry and experiment tracking standards, troubleshooting complex deployment challenges, and mentoring team members on MLOps practices.

What you’ll do

• Design and implement scalable CI/CD frameworks for machine learning lifecycle management and deployment automation.
• Define model deployment architectures and serving strategies aligned with business and operational requirements.
• Lead implementation of automated ML pipeline solutions supporting model validation, testing, release, and deployment processes.
• Design and optimize model serving frameworks to improve scalability, reliability, and operational efficiency.
• Establish model registry standards for model versioning, governance, traceability, and lifecycle management.
• Define experiment tracking frameworks to support reproducibility, auditability, and model performance management.
• Design and implement model monitoring frameworks to evaluate prediction quality, model performance, data drift, concept drift, and operational health while supporting proactive model lifecycle managem
• Establish deployment validation and model quality assurance practices to improve production readiness.

What you’ll bring

• Machine Learning (ML)
• CI/CD (for ML pipelines)
• Data Pipeline & Feature Management
• Model Deployment & Serving
• Model Lifecycle Management
• Model Registry & Experiment Tracking
• Monitoring & Observation
• Python

Skills