Key Responsibilities
Build AI Infrastructure: Contribute to the development and maintenance of scalable, reliable, and efficient infrastructure for training and deploying machine learning models. MLOps & Automation: Implement and maintain CI/CD pipelines for machine learning models, helping to automate the entire lifecycle from data preparation to model monitoring. Production Deployment: Deploy and maintain machine learning models in our production environments, ensuring high availability, low latency, and scalability. Software Development: Write clean, high-quality, and production-ready code to support AI/ML initiatives. Cross-Functional Collaboration: Partner with data scientists, other engineers, and product managers to understand model requirements and translate them into robust engineering solutions. Performance Optimization: Help monitor and optimize the performance of ou...