Senior ML Engineer

**Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do?** ØOwn the backend engineering strategy for the platform, ensuring repos, pipelines, and modular components are structured for scalable integration with software applications and visualization layers ØLead the entire deployment lifecycle, from model training to deployment and monitoring on devices ØDevelop, and maintain a scalable ML pipeline that enables real-time analytics for Test & Learn experimentation across business functions ØOptimize and containerize models using Docker, and Azure Container Registry (ACR) etc. to ensure efficient execution in constrained environments. PySpark deep understanding is a must. ØOwn and manage the GitHub repository, ensuring structured, well-documented, and modularized code for seamless deployments ØEstablish robust CI/CD pipelines for continuous integration and deployment of models and services ØImplement observability layers for data, feature, inference, and pipeline health (e.g., logging, monitoring, alerting), ensuring reliable and quick feedback loops ØEnsure compliance with security and governance best practices for data and model deployment in centralized data environments ØCollaborate with product and software teams to ensure backend architecture seamlessly integrates with frontend