Description

You will work on cutting-edge ML-powered features in a production SaaS environment, collaborating with data scientists and engineering leaders to deliver scalable and reliable solutions that drive personalized marketing for major global brands.

Requirements

• Experience building and maintaining ML-powered features in a production environment
• Solid background in software engineering principles and practices
• Experience with DevOps and MLOps best practices (continuous integration, delivery, monitoring)
• Ability to collaborate with data scientists and product leaders to optimize delivery
• Experience with SaaS environments and handling data complexity

Responsibilities

• Design and deliver new ML-powered features from business requirements to technical specifications and implementation
• Develop and deploy ML models, algorithms, and data pipelines with high-performance serving endpoints
• Perform rigorous testing including unit, integration, and A/B tests
• Implement monitoring and dashboards for ML model performance in production
• Maintain end-to-end features including back-office APIs and serving APIs