Mlops Engineer • Senior

Who you are

You are a highly skilled MLOps Engineer with a strong background in developing and deploying machine learning models. You have experience with Python and are familiar with tools like AWS and Docker, which you have used to ensure the performance and scalability of ML systems. You thrive in collaborative environments, working closely with data scientists and software engineers to deliver high-quality solutions.

You have a deep understanding of MLOps practices, including version control, continuous integration, and continuous deployment. You are proactive in monitoring the performance of machine learning models in production and are always looking for areas of improvement. Your ability to stay up-to-date with the latest advancements in MLOps and machine learning technologies allows you to incorporate best practices into your workflows.

What you'll do

In this role, you will collaborate with cross-functional teams to develop and deploy machine learning models that meet performance, scalability, and reliability requirements. You will implement and maintain the MLOps pipeline, ensuring that all models are version-controlled and monitored effectively. You will also develop tools and frameworks to streamline the model development and deployment process, making it easier for your team to deliver high-quality solutions.

You will take responsibility for ensuring the availability and reliability of machine learning models and systems, proactively addressing any issues that arise. Your role will involve monitoring the performance of models in production and working with data scientists to optimize them for better results. You will be a key player in the ML Platform Team, contributing to the mission of transforming healthcare delivery through AI.

What we offer

At Doctolib, you will be part of a mission-driven team that is dedicated to improving healthcare through technology. We offer a collaborative work environment where your contributions will have a direct impact on the products we deliver to care teams and patients. You will have opportunities for professional growth and development, as well as access to the latest tools and technologies in the field of machine learning and AI.