As a Data Scientist, you'll be at the forefront of implementing MLOps and GenAI Ops practices. This role is ideal for those who thrive in a dynamic environment and are passionate about deploying machine learning models effectively.
Innovative and tech-focused
In this role, you will establish and operate MLOps and GenAI Ops practices, which are essential for the efficient deployment and management of machine learning models. Your day-to-day responsibilities will include setting up CI/CD pipelines, ensuring model versioning, and automating deployment processes. You will also be involved in monitoring and maintaining the performance of these models in production environments.
The ideal candidate for this position is someone who has a strong background in machine learning operations and is comfortable with the technical aspects of deploying models. You should be familiar with observability and logging practices, as well as incident response strategies to address any issues that may arise during model deployment.
This role suits individuals who are proactive and enjoy working in a fast-paced environment. You will collaborate with other data scientists and engineers to ensure that the models are not only deployed but also continuously improved based on performance metrics. Your expertise in MLOps will be crucial in driving the success of machine learning initiatives within the organization.
Key requirements include a solid understanding of CI/CD for models, experience with model versioning, and a passion for automation. If you are looking to make a significant impact in the field of data science and machine learning, this position offers a great opportunity to do so.
You'll be taken to the original listing on PNet to apply.