MLOPS Engineer

Key Responsibilities :

• Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment
• Collaborate with data scientists and software engineers to operationalize ML models
• Develop and maintain CI / CD pipelines for ML workflows
• Implement monitoring and logging solutions for ML models
• Optimize ML infrastructure for performance, scalability, and cost-efficiency
• Ensure compliance with data privacy and security regulations

Required Skills and Qualifications :

Skills Required

Prometheus, Grafana, Elk Stack, Gitlab, Artifactory, Aws