MUTT DATA

Solutions Engineer

• Take full ownership of new connector requests, driving them from initial requirement to production enablement.
• Lead and push homologation processes with Security and other internal stakeholders until approval is achieved.
• Identify and resolve technical and administrative bottlenecks that slow down adoption.
• Coordinate with business and technology teams to ensure use cases progress effectively.
• Ensure connectors are not only approved but fully operational and usable in real scenarios.
• Provide technical clarity around integrations and connector architecture.
• Actively drive adoption of low-code solutions across teams.
• Lay the groundwork for future advanced automation initiatives.

AI Specialist, Solutions Architect

Machine Learning Engineer

• Design, build, and maintain production recommendation systems at consumer scale.
• Develop ranking and retrieval models to improve personalization and user experience.
• Own ML pipelines end-to-end, from feature engineering and training to deployment and monitoring.
• Collaborate with client stakeholders and engineering teams to deliver scalable ML solutions.
• Analyze large-scale user behavior data and run A/B tests to optimize recommendation performance.
• Improve reliability, scalability, and latency of production ML systems on AWS/GCP/Azure.

AI Specialist, Solutions Architect

Machine Learning Engineer – Recommendation Systems