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 model deployment and automation.
In this role, you will be responsible for setting up and maintaining MLOps and GenAI Ops practices within the organization. Your day-to-day tasks will involve creating and managing CI/CD pipelines for machine learning models, ensuring that they are efficiently versioned and deployed. You will also focus on automating deployment processes to enhance operational efficiency.
You will need to have a solid understanding of MLOps principles, including model observability, logging, and monitoring. Additionally, you will be expected to implement incident response practices to address any issues that arise during model deployment or operation.
This position is well-suited for experienced data scientists who are passionate about operationalizing machine learning and artificial intelligence. You should be comfortable working with complex systems and have a proactive approach to problem-solving.
Key requirements for this role include expertise in MLOps and GenAI Ops, as well as hands-on experience with CI/CD for models. Familiarity with observability and monitoring tools will be beneficial, but the primary focus will be on establishing robust deployment practices.
You'll be taken to the original listing on PNet to apply.