MLOps Engineer

Our Client, an IT Services and Consultant company, is looking for a MLOps Engineer for their Remote location.
 
Responsibilities:

• Design, develop, and maintain scalable MLOps platforms and frameworks to support the ML lifecycle.
• Deploy, monitor, and manage machine learning models in production environments.
• Build and maintain CI/CD pipelines for model training, testing, deployment, and rollback.
• Automate cloud infrastructure provisioning and configuration using Terraform and Infrastructure as Code (IaC) principles.
• Utilize AWS SageMaker for model training, tuning, deployment, and monitoring.
• Implement model performance monitoring, drift detection, observability, and alerting mechanisms.
• Troubleshoot production model issues, perform root cause analysis, and implement corrective actions.
• Collaborate with Data Scientists, Data Engineers, Cloud Engineers, and business stakeholders to operationalize ML solutions.
• Establish governance, model versioning, reproducibility, security, and compliance standards.
• Optimize model serving infrastructure for scalability, reliability, and cost efficiency.

• Years of Experience: 9.00 Years of Experience

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities