Design, develop, and optimize machine learning models using Python, SparkML, and related libraries. Build and maintain scalable microservices for model serving and low latency/ high throughput backend services that leverage ML. Develop in-house tools and automation frameworks to streamline ML workflows. Deploy, manage, and scale ML models using cloud infrastructure. Write clean, maintainable, and efficient code with strong emphasis on performance and reliability. Collaborate with data engineers, product managers, and DevOps teams to integrate ML models into production environments. Monitor and debug model performance, ensuring reliable operations in production.