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 running MLOps and GenAI Ops practices. Your main tasks will involve creating CI/CD pipelines, managing model versioning, and automating deployment processes. This position is designed for someone who is experienced in these areas and can ensure that the data models are efficiently managed and deployed.
You will work closely with other data professionals to implement best practices for observability, logging, and monitoring. Additionally, you'll be involved in incident response practices to ensure that any issues with the models are addressed promptly. Your expertise will help the team maintain high standards in data operations.
This role suits someone who is passionate about data science and has a strong technical background in MLOps. You should be comfortable working in a fast-paced environment and have a proactive approach to problem-solving. Key requirements include a solid understanding of CI/CD processes and experience with model management.
If you're looking to make a significant impact in a company that values innovation and advanced data practices, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.