SageSure
Senior Machine Learning Engineer
Jersey City, New Jersey, United States · Senior
Sponsorship not specifiedDetected 26 days ago
AWSGCPAzureDockerKubernetesMachine LearningTensorFlowPyTorchAirflowData EngineeringData ScienceMLOpsCommunicationProblem SolvingUnderwriting
About the role
- If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we're hiring.
- SageSure, a leader in catastrophe-exposed property insurance, is seeking a Machine Learning Engineer.
- As a Senior Machine Learning Engineer, you'll play a crucial role in optimizing orchestration processes and ensuring fast and efficient model deployment and delivery.
Responsibilities
- Develop prediction pipelines to ensure seamless integration of trained models into production environments.
- Design, build, and manage model deployment strategies to ensure reliability, scalability, and security in production environments.
- Implement cost-saving strategies to minimize infrastructure expenses while maximizing performance.
- Collaborate with cross-functional teams to identify bottlenecks and implement solutions to improve workflow efficiency.
- Our Data organization brings together Data Science, Business Intelligence, and Data Management to power smarter decisions and deliver meaningful impact across the business.
- Optimize orchestration processes to ensure efficient deployment and management of ML models.
Requirements
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field.
- Proficiency in cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
- Experience with orchestration tools and frameworks such as Airflow, Kubeflow, or MLflow.
Benefits
- Design and implement robust, scalable, and efficient data pipelines for training machine learning models.
- Create APIs and microservices to facilitate communication between machine learning models and other software modules.
- Implement monitoring and logging solutions to track model performance, data quality, and system health in real-time.
- You'll work closely with Software Engineers and Data scientists to streamline machine learning pipelines and implement best practices for managing and deploying ML models.
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This listing is sourced directly from SageSure's careers page and normalized into a canonical job model.