Ml Ops - Senior Engineer
Iris Software · Noida · onsite · Posted 58d ago
Undisclosed5–10 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Mandatory Skills:
Mandatory Competencies
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
Key Responsibilities
- 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 management and retraining strategies.
- Establish deployment validation and model quality assurance practices to improve production readiness.
- Review ML pipeline designs and deployment implementations to ensure adherence to engineering and operational standards.
- Troubleshoot complex deployment, serving, and ML lifecycle management challenges through detailed root cause analysis.
- Mentor team members on MLOps practices, deployment automation, model lifecycle management, and operational excellence.
- Collaborate with various teams and stakeholders to support end-to-end ML platform delivery.
- Drive continuous improvement initiatives focused on automation, reliability, governance, and operational efficiency.
Behavioral Competencies
- Demonstrates strong ownership while driving MLOps excellence and operational effectiveness.
- Collaborate effectively with various teams and business stakeholders to ensure smooth delivery.
- Promotes automation-first engineering through proactive optimization and continuous improvement.
- Applies strong analytical thinking to evaluate complex ML deployment and lifecycle management challenges.
- Demonstrates adaptability while managing evolving MLOps technologies and business requirements.
- Communicates effectively regarding deployment status, risks, dependencies, and improvement opportunities.
- Maintains high attention to detail across pipeline design, deployment automation, validation, and operational processes.
- Encourages continuous improvement in MLOps practices, deployment frameworks, and lifecycle management processes.
- Supports knowledge sharing and mentoring to strengthen team capabilities.
- Balances scalability, reliability, governance, and business priorities while driving delivery excellence.
Mandatory Competencies
Data AI - MLOPS - CI/CD (for ML pipelines)
Data AI - MLOPS - Data Pipeline Feature Management
Data AI - MLOPS - Model Deployment Serving
Data AI - MLOPS - Model Lifecycle Management
Data AI - MLOPS - Model Registry Experiment Tracking
Data AI - MLOPS - Monitoring Observation
Data AI - MLOPS - Python
Perks and Benefits for Irisians Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click to view the benefits.
Sourced from naukri
Skills
AutomationDevopsDeployment AutomationMLOpsBusiness RequirementsMl Deploymentbusiness automationLogisticsdeploymentFeature ManagementHealthcarecloudIT ServicesFinancial ServicesArtificial IntelligenceMachine Learning
About Iris Software
Iris Software
IT Services & Consulting
4.3k+
employees
1991
35 years old
Edison, New Jersey
United States (USA)
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IT company for best tech-solutions to enhance business operations
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