As a Data Scientist, you'll focus on establishing and managing MLOps and GenAI Ops practices. This role is ideal for someone with a strong background in automation and model management.
In this role, you'll be responsible for setting up and maintaining MLOps and GenAI Ops practices within the organization. This includes creating CI/CD pipelines that facilitate the smooth deployment of machine learning models. You'll work on model versioning to ensure that the latest and most effective models are always in use, while also focusing on deployment automation to streamline processes.
Your day-to-day tasks will involve monitoring the performance of deployed models and ensuring that they operate effectively. You'll also implement observability and logging practices to track model behavior and performance metrics. Incident response will be a key part of your role, as you'll need to address any issues that arise with deployed models promptly.
This position is best suited for experienced Data Scientists who have a solid understanding of MLOps and GenAI Ops. You should be comfortable working with CI/CD practices and have a keen eye for detail when it comes to model management. Strong problem-solving skills and the ability to work collaboratively in a tech-focused environment are essential.
Key requirements include expertise in MLOps, experience with CI/CD pipelines, and familiarity with model versioning and deployment automation. If you're passionate about leveraging data science to drive innovation and efficiency, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.