Senior MLOps Engineer

3 days ago

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Homebrew Research

WebsiteLinkedInAll Job Openings

AI • Machine Learning • ML • MLOps • LLM

11 - 50 employees

🤖 Artificial Intelligence

🔧 Hardware

☁️ SaaS

Description

• Homebrew is looking for a Senior MLOps Engineer specializing in model deployment to join our team. • The ideal candidate will be responsible for deploying, managing, and optimizing machine learning models in production environments, ensuring seamless integration and efficient operations. • Create and maintain RESTful APIs or microservices to facilitate model serving and integration with existing applications. • Implement monitoring solutions to track model performance and detect issues such as data drift or performance degradation, ensuring timely updates. • Stay updated with industry trends and emerging technologies to continuously enhance the platform.

Requirements

• Model Serving & Deployment: Proven Experience with Docker, Kubernetes (K8s), Seldon Core for containerization, orchestration and scaling of deployed models. • Infrastructure Management: Manage infrastructure using Terraform for Infrastructure-as-code. • Deployment experience: to cloud environments (AWS, GCP, Azure) or Self hosted On-Premise environments. • Pipeline Orchestration: Design and maintain data pipelines using Apache Airflow or Kubeflow for workflow automation. • Experiment Tracking & Model Registry: Implement and manage MLflow for tracking experiments and maintaining a model registry.

Benefits

• We pay an “all-in” pay and you will cover your own insurance/medical from the amount • 14 days leave (and unlimited sick days) • Annual equipment budget (once 2 month probation has been completed)