Senior MLOps Engineer - Octopus by RTG

Octopus by RTG is on a mission of connecting top notch ogranizations around the globe with top notch talents. We are currently looking for a Senior MLOps Engineer

Responsibilities:

• Build and maintain MLOps pipelines for seamless development, deployment, and monitoring of ML models.
• Automate model training, evaluation, and deployment processes.
• Monitor model performance in real-time and implement solutions for drift detection.
• Design and manage cloud infrastructure to support ML model deployment and scalability.
• Optimize resource usage and cost-efficiency on cloud platforms (e.g., AWS, GCP, Azure).
• Automate CI/CD pipelines for both backend and frontend systems.

• Strong experience with MLOps tools and platforms (e.g., MLflow, Kubeflow, SageMaker).
• Expertise in cloud platforms (AWS, GCP, Azure) and infrastructure-as-code tools (e.g., Terraform, CloudFormation).
• Proficiency in scripting and automation (e.g., Python, Bash, Ansible).
• Knowledge of container orchestration and deployment (e.g., Kubernetes, Docker).
• Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana).
• Experience with version control and CI/CD practices.
• Strong understanding of ML model lifecycle and deployment challenges.