Senior Machine Learning Engineer

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If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we’re hiring. Sage Sure, 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. 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.

• 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.

• 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 Tensor Flow, 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.

At Sage Sure, data isn’t just a function—it’s a force for innovation. Our Data organization brings together Data Science, Business Intelligence, and Data Management to power smarter decisions and deliver meaningful impact across the business. From predictive modeling to scalable data ecosystems and actionable insights, we turn complex information into clarity that drives real results.

We’re building a team of curious, collaborative problem‑solvers who are passionate about using data to make a difference. Whether you’re advancing machine learning capabilities, strengthening data governance, or uncovering insights that shape strategy, you’ll play a critical role in defining how Sage Sure uses data to lead the future of insurance.

Named among the Best Places to Work in Insurance by Business Insurance for four years in a row (2020‑2023), Sage Sure is one of the largest managing general underwriters (MGU) focused on catastrophe‑exposed markets in the US. Since its founding in 2009, Sage Sure has experienced exceptional growth while generating underwriting profits for carrier partners through hurricanes, wildfires, and hail. Available in 16 states, Sage Sure offers more than 50 competitively priced home, flood, earthquake, and commercial products on behalf of its highly rated carrier partners.

Today, Sage Sure manages more than $1.9 billion of in‑force premium and helps protect 640,000 policyholders.

Sage Sure has more than 1,000 employees working remotely or in‑office across nine offices:
Cheshire, Connecticut;
Chicago, Illinois;
Cincinnati, Ohio;
Houston, Texas;
Jersey City, New Jersey;
Mountain View, California;
Marlton, New Jersey;
Tallahassee, Florida; and Seattle, Washington.

Sage Sure offers generous…