MLOps Engineer- DevOps Engineer

Role OverviewA MLOps Engineer is a professional who has several years of experience in MLOps and is expected to lead or independently manage large-scale projects related to ML model deployment, monitoring, and optimization. They also have a deeper understanding of systems architecture and can mentor junior team members.ResponsibilitiesLead and design the architecture for deploying and maintaining ML models in production.Implement robust, scalable, and secure ML pipelines and workflows.Work closely with development teams to deploy and integrate models.Ensure the system is optimized for high availability, reliability, and performance.Automate end-to-end model deployment processes and CI/CD pipelines.Implement monitoring and alerting for production models, ensuring uptime and performance.Conduct performance tuning and model updates based on real-time data and feedback.Manage infrastructure on cloud services and container orchestration systems like Kubernetes.Mentor junior MLOps engineers and interns, providing technical guidance and reviews.