Mlops Engineer Ii

HIRING FOR AMAZON ADSResponsibilities:1. **Model Deployment and Scaling**:- Deploy and manage machine learning models in production environments, ensuring scalability and reliability.- Implement scalable systems to handle model inference at scale, optimizing performance and resource utilization.- Work on containerization and orchestration solutions for efficient model deployment, leveraging technologies like Docker and Kubernetes.2. **Automation and Continuous Integration/Continuous Deployment (CI/CD)**:- Develop and maintain automated pipelines for model training, testing, and deployment to enable efficient development workflows.- Implement CI/CD practices to facilitate rapid and reliable updates to machine learning models in production.3. **Infrastructure Management**:- Collaborate with Engineering/DevOps teams to optimize infrastructure for machine learning workloads, ensuring optimal performance and cost-effectiveness.- Manage and monitor machine learning infrastructure, proactively addressing issues to maintain high availability and performance.4. **Monitoring and Logging**:- Implement robust monitoring and logging solutions to track model performance and system health, enabling proactive identification and resolution of issues.- Respond to alerts and troubleshoot issues related to model deployment and infrastructure, ensuring smooth operation of machine learning systems.5. **Security and Compliance**:- Implement security best practices for machine learning systems, safeguarding against potential vulnerabilities and ensuring data protection.- Ensure compliance with data protection and privacy regulations, maintaining the integrity and confidentiality of sensitive information.6. **Collaboration with Data Science and Engineering Teams**:- Collaborate with data scientists to understand model requirements and deployment constraints, providing insights and guidance on deployment strategies.- Work closely with software engineers to integrate machine learning models into applications, facilitating seamless integration and functionality.