We are looking for an ML Engineer to develop and scale our AI platform, build robust ML pipelines, and enable the deployment of AI workloads.
What You Will Be Working On
- Design, build, and maintain scalable ML infrastructure using tools like Kubeflow, MLflow, and RunAI.
- Automate the setup and management of ML environments and pipelines to ensure consistency and reliability.
- Ensure automated testing and validation of AI/ML models before deployment.
- Monitor model performance and health, using tools for logging, monitoring, and alerting.
- Implement strategies for model retraining and updating based on performance metrics.
- Collaborate with data scientists, engineers, and stakeholders to translate requirements into scalable ML solutions.
- Participate actively in agile ceremonies such as sprint planning, daily stand-ups, retrospectives, and backlog grooming.