What success looks like in this role:

Join our team and work with Fortune 500 companies to revolutionize IT Service Management (ITSM) processes by operationalizing cutting-edge machine learning (ML) models. As aSoftware Engineer - ML Ops, you will ensure the stability, scalability, and efficiency of ML models in production while streamlining the deployment lifecycle for continuous improvement. You will play a crucial role in implementing DevOps practices tailored for ML pipelines, enabling seamless integration of AI-driven solutions.

• Operationalize and maintain ML models in production, ensuring stability, scalability, and performance.
• Design and implement robust ML pipelines, including CI/CD automation for ML workflows.
• Ensure fast and efficient ML model release lifecycles, reducing time-to-market.
• Develop monitoring solutions to track ML model performance and detect drift.
• Colla...