MLOps Engineer

This role focuses on building and maintaining the infrastructure and pipelines required to reliably deploy and monitor machine learning models. The MLOps Engineer will work closely with data scientists and software engineers to ensure that models are scalable, efficient, and meet business requirements. This position requires a strong understanding of DevOps principles and experience with cloud platforms.

Key Responsibilities

Develop and maintain MLOps pipelines for model training, deployment, and monitoring.
Automate the model deployment process.
Implement robust monitoring and alerting systems for model performance.
Collaborate with data scientists to optimize model performance and scalability.
Ensure the security and compliance of machine learning infrastructure.
Troubleshoot and resolve issues related to model deployment and performance.

Requirements/Qualifications

Experience with MLOps tools and technologies.
Strong understanding of DevOps principles and practices.
Experience with cloud platforms (e.g., AWS, Azure, GCP).
Proficiency in Python and related machine learning libraries.
Experience with containerization technologies (e.g., Docker, Kubernetes).
Excellent communication and collaboration skills.
Experience with CI/CD pipelines.

About the Company

Grids and Guides is a technology company focused on providing innovative solutions in the data and analytics space. We help organizations leverage data to drive better decision-making and achieve their business goals.