Senior Machine Learning Engineer
Current- Model Development: Train sophisticated ML models to provide accurate predictions, leveraging the latest machine learning techniques.- Generative AI Solutions: Build and maintain cutting-edge applications that utilize generative AI to solve complex problems, enhancing operational efficiency and innovation.- Lifecycle Management: Oversee the full lifecycle of projects, including research, development, deployment, and continuous improvement in production environments.- Infrastructure as Code: Design and implement cloud infrastructure using Terraform, automating the creation and management of resources to ensure consistent and efficient environments.- CI/CD Pipelines: Leverage AWS CodeBuild and other CI/CD tools to automate testing and deployment processes, facilitating rapid and reliable code releases.- Cloud & Containerization: Utilize Docker and Kubernetes to containerize applications, manage deployments, and orchestrate services within AWS cloud ecosystems, ensuring high availability and scalability.- Monitoring & Alerts: Implement and manage monitoring systems using Grafana and Prometheus, setting up comprehensive alerts and dashboards to maintain system health and performance.
