Senior ML Ops Engineer: Production Pipelines & Deployment

SageSure Insurance Managers LLC; Jersey City (NJ); Hybrid; USD 150,000 - 190,000; Full time

Job summary

SageSure Insurance Managers LLC is seeking a Senior Machine Learning Engineer to advance data-driven strategies in catastrophe-exposed property insurance. You will design robust ML data pipelines, build prediction workflows, and create APIs to connect models with software components, ensuring secure, scalable production-grade deployments across platforms.

You will collaborate with software engineers and data scientists to optimize orchestration, monitor model performance, and drive

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field.
• 5-7 years of experience as an MLOps Engineer or similar role, with a proven track record of optimizing machine learning pipelines and infrastructure.
• 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.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Experience in deploying machine learning models in production environments and managing model lifecycle.
• Excellent problem-solving skills and ability to work independently as well as part of a team.
• Strong communication skills and ability to collaborate effectively with cross-functional teams.

Responsibilities

• Design and implement robust, scalable, and efficient data pipelines for training machine learning models.
• Develop prediction pipelines to ensure seamless integration of trained models into production environments.
• Create APIs and microservices to facilitate communication between machine learning models and other software modules.
• Design, build, and manage model deployment strategies to ensure reliability, scalability, and security in production environments.
• Implement monitoring and logging solutions to track model performance, data quality, and system health in real-time.
• Optimize orchestration processes to ensure efficient deployment and management of ML models.
• 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.

Job description

SageSure Insurance Managers LLC is seeking a Senior Machine Learning Engineer to advance data-driven strategies in catastrophe-exposed property insurance. You will design robust ML data pipelines, build prediction workflows, and create APIs to connect models with software components, ensuring secure, scalable production-grade deployments across platforms.

You will collaborate with software engineers and data scientists to optimize orchestration, monitor model performance, and drive