| Lead MLOps Engineer at Remote, Remote, USA |
| Email: [email protected] |
| hi Role: Lead MLOps Engineer Location: Chicago, IL (100% remote) Mandatory Skills: KUBEFLOW , MLOps, AWS Job Description: We're seeking an experienced MLOps Engineer to lead the operationalization of our Machine Learning workloads. As a key team member, you'll be responsible for designing, building, and maintaining infrastructure required for efficient development, deployment, and monitoring of machine learning workloads. Your close collaboration with data scientists will ensure that our models are reliable, scalable, and performing optimally.This role requires expertise in automating ML workflows, enhancing model reproducibility, and ensuring continuous integration and delivery. Responsibilities: - Architect for scalable, cost-efficient, reliable and secure ML solution. Design, implement and deploy ML solutions in AWS. Select and justify appropriate ML technology within AWS and Identify appropriate AWS services to implement ML solutions. Design, build, and maintain infrastructure required for efficient development, deployment, and monitoring of machine learning models. Implement CI/CD pipelines for machine learning applications to ensure smooth development and deployment processes. Collaborate with data scientists to understand and implement requirements for model serving, versioning, and reproducibility. Monitor and optimize model performance in production, identifying and resolving issues proactively to ensure optimal results. Automate repetitive tasks to improve efficiency and reduce the risk of human error in MLOps workflows. Maintain documentation and provide training to team members on MLOps best practices, ensuring knowledge sharing and collaboration within the team. Stay updated with the latest developments in MLOps tools, technologies, and methodologies to remain current and effective in your role. Keywords: continuous integration continuous deployment machine learning Illinois |
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| Thu Dec 19 20:12:00 UTC 2024 |