200+ applicants

Company

SageSure · 13 hours ago

Senior Machine Learning Engineer

United States

Full-time

Remote

Senior Level

5+ years exp

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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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine Learning EngineeringCloud Computing AWSCloud Computing AzureCloud Computing GCPContainerization DockerContainerization KubernetesOrchestration Tools AirflowOrchestration Tools KubeflowOrchestration Tools MLflowMachine Learning Frameworks TensorFlowMachine Learning Frameworks PyTorchMachine Learning Frameworks Scikit-LearnModel DeploymentData Pipeline DesignAPI DevelopmentMonitoringLogging

Required

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.

Benefits

Generous health benefits

Tuition reimbursement

Wellness allowance

Paid volunteer time off

A matching 401K plan

Company

SageSure

SageSure is a managing general underwriter specializing in coastal residential and commercial property markets.

Founded in 2005

Jersey City, New Jersey, USA

501-1,000 employees

https://www.sagesure.com/

H1B Sponsorship

SageSure has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2023 (4)

2022 (2)

2021 (1)

2020 (1)