Back
Senior, niche ML-backed backend role at a recognized brand reduces competition significantly.
Requires deep personalization, recommendation, model-serving, and feature-store experience, limiting cross-industry transferability.
Explicit 10+ years, leadership requirement and specialized tech and ML model-serving stack enforce strict shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design and development of scalable, low-latency personalization and recommendation backend services for real-time consumer experiences.
Own technical architecture, engineering standards, and key technology decisions across model serving, inference, and recommendation platforms.
Provide technical leadership, drive engineering excellence through code reviews, architecture reviews, mentorship, and continuous improvement.
10+ years of experience designing and building large scale distributed backend systems on cloud-native platforms.
3+ years of experience leading a technical capability, project or engineering team.
Hands-on experience with recommendation systems, model serving, inference, and integrating AI/ML models including LLM APIs into production applications.
Proficiency in backend engineering with Java, Spring Boot, event-driven architectures (Kafka), caching (Redis), SQL and NoSQL databases.
Experienced in production ML integration patterns including feature stores, experimentation platforms, and data-driven optimization of consumer digital products.
Strong ability to influence technical direction, lead technical teams, and improve engineering productivity using AI-assisted engineering tools.
Background in eCommerce, retail, or consumer digital product environments preferred for strategic fit.