We are looking for a skilled MLOps Engineer to join our team. This role is centered on improving and maintaining our machine learning infrastructure, ensuring the efficient deployment, monitoring, and management of machine learning models in production environments. The ideal candidate will be Experienced in both machine learning and DevOps, capable of bridging the gap between data science and IT operations.

• Develop and manage MLOps infrastructure to facilitate the deployment, scaling, and monitoring of machine learning models.

• Work collaboratively with data scientists and engineering teams to move machine learning models from development to production smoothly.

• Implement and manage automation tools for continuous integration, testing, and deployment of machine learning systems.

• Apply best practices in version control, testing, and containerization for machine learning models.

• Monitor the performance of machine learning models in production, making optimizations as necessary.

• Keep up-to-date with the latest trends and advancements in MLOps, machine learning frameworks, and DevOps methodologies.