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 developing and managing CI/CD pipelines for machine learning models, ensuring that model versioning is handled effectively, and automating deployment processes to streamline operations.
Your day-to-day tasks will involve working closely with data and machine learning teams to implement best practices for observability, logging, and monitoring. You'll also be expected to establish incident response protocols to address any issues that arise during model deployment and operation.
This position is best suited for experienced professionals who have a solid understanding of machine learning operations and automation. You should be comfortable with the technical aspects of model management and have a proactive approach to problem-solving.
Key requirements for this role include expertise in MLOps and GenAI Ops, familiarity with CI/CD practices, and a strong grasp of model versioning and deployment automation. If you have experience with observability and monitoring tools, that would be a plus, but the core focus will be on establishing robust operational practices for machine learning models.
You'll be taken to the original listing on PNet to apply.