We are seeking a highly capable Senior ML Engineer / MLOps Engineer with strong experience in building, deploying, and scaling machine learning systems in production. The ideal candidate will have hands-on expertise across the end-to-end ML lifecycle, including data pipelines, model development, deployment, and monitoring, along with a strong foundation in cloud-native architectures. This role requires close collaboration with data scientists and stakeholders to operationalize ML models for business-critical use cases such as personalization, recommendations, and NLP, while ensuring scalability, reliability, and performance in production environments.
