Machine Learning Engineer
Core
Building and automating production-level machine learning pipelines to power marketing programs, transforming prototypes into robust services, and developing MLOps frameworks.
Role type
Senior Machine Learning Engineer (MLOps & Production Systems)
Builds
Scalable, reliable ML services and MLOps tooling for marketing platforms (email, advertising, app engagement)
Domain
E-commerce, Marketing Technology, Supply Chain Optimization
Deliverable
production ML models
Required skills
End-to-end ML pipeline design, Python engineering, Deep learning, Embeddings, Clustering, Predictive modelling, MLOps framework development, Cloud ML deployment
Preferred skills
Kubeflow, MLflow, Airflow, Vertex AI, Docker, Kubernetes, GCP, AWS
Responsibilities
Partner with data scientists to integrate ML services into marketing platforms; Design, automate, and maintain resilient data and model pipelines; Develop MLOps frameworks for performance monitoring and alerting; Contribute to MLOps standards and best practices; Elevate engineering quality and operational discipline across the ML lifecycle.
Seniority
Senior, hands-on IC
