eAspire Technolabs Pvt. Ltd.
Website:
easpiretech.com
Job details:
Experience: 6+ Years
Location: Pan India (Hybrid)
Employment Type: Full-Time
Mandatory skills: Azure Devops with MLops
Role Summary
We are looking for a highly skilled Azure DevOps Engineer with strong MLOps expertise to design, implement, and manage scalable CI/CD pipelines and ML lifecycle workflows. The ideal candidate will bridge the gap between data science and production engineering, enabling seamless deployment, monitoring, and governance of machine learning models.
Key Responsibilities
DevOps & Cloud Engineering
- Design, implement, and manage CI/CD pipelines using Azure DevOps
- Automate infrastructure provisioning using Infrastructure as Code (IaC) tools like Terraform / ARM Templates
- Manage cloud infrastructure on Microsoft Azure
- Ensure system reliability, scalability, and security best practices
MLOps & ML Lifecycle
- Build and maintain end-to-end ML pipelines (training, validation, deployment, monitoring)
- Work with data scientists to productionize ML models
- Implement model versioning, tracking, and reproducibility using tools like MLflow / Azure ML
- Deploy models using Azure Machine Learning, AKS, or Kubernetes
- Monitor model performance, drift, and automate retraining workflows
Automation & Monitoring
- Set up monitoring/logging using Azure Monitor, Log Analytics, Prometheus, Grafana
- Automate testing, validation, and deployment processes
- Ensure high availability and performance of ML services
Collaboration & Governance
- Collaborate with cross-functional teams (Data Science, Engineering, Product)
- Implement security, compliance, and governance policies for ML systems
- Document processes, pipelines, and architecture
Click on Apply to know more.