- Implement and train neural networks for real-time AI/ML image processing systems
- Containerize machine learning models and orchestrate their deployment, versioning, and monitoring
- Build scalable and robust MLOps pipelines by applying CI/CD concepts and utilizing tools like Kubeflow, MLFlow, DataRobot, Airflow, Docker, and Kubernetes
- Develop and automate tests to ensure the quality and reliability of machine learning models
- Collaborate closely with our cross-functional teams to integrate AI solutions into the product