Join a dynamic team focused on conversational AI and MLOps. This role is perfect for someone who enjoys collaborating with data scientists and software engineers to bring AI solutions to life.
In this role, you'll be at the forefront of integrating AI into production applications. Your main responsibility will be to coordinate with cross-functional teams, including data scientists and software engineers, to ensure smooth integration of AI components. This position is ideal for someone who thrives in a collaborative environment and is passionate about driving advancements in conversational AI.
You will also support the adoption of MLOps practices, which are essential for deploying machine learning models efficiently. Familiarity with CI/CD pipelines and tools like GitHub Actions will be crucial as you work to automate workflows and streamline processes. Your expertise in MLOps will help the team establish repeatable practices that enhance productivity and reliability.
This role suits individuals who are eager to lead and innovate within a motivating ecosystem. If you have a strong understanding of MLOps and enjoy working in a fast-paced environment, this position could be a great fit for you. Key requirements include a solid grasp of deployment patterns and pipeline integration for enterprise models, as well as experience with MLOps workflows.
Overall, this is an exciting opportunity to make a significant impact in the field of AI engineering while working with a talented team dedicated to pushing the boundaries of technology.
You'll be taken to the original listing on PNet to apply.