Job Description
We're looking for a Senior Machine Learning Engineer to join the Technology and Operations Ambiata team. This role primarily involves designing, implementing, and managing software architecture for deploying and monitoring ML models in production, including data pipelines, CI/CD/MLOps pipelines, and API endpoints.You'll be responsible for building highly scalable ML pipelines using various tools such as Docker, Kubernetes, and major public cloud platforms, while also automating ML deployment and establishing a robust MLOps environment. Furthermore, you'll define validation strategies and efficient pipelines for data preprocessing, augmentation, and feature engineering, implementing best practices to enhance the existing ML infrastructure.
Responsibilities + Skills
Experience in commercial deployment of emerging ML technologies and data analytics.Experience with ML toolkits such as Keras, Tensorflow, ScikitLearn, PyTorch or equivalent.
Education
Experience
Experience and a solid understanding of ML in production.Strong software engineering skills in PythonSolid understanding of building data pipelines, ML pipelines, and Model Deployment frameworks, including Docker, Kubernetes, REST APIs, real-time processing and cloud infrastructure
