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Tier-1 brand, mid-level generalist title, metro location, and broad skill requirements raise competition.
Role requires ad-tech, low-latency backend and ML serving expertise, limiting cross-industry transferability.
Explicit 6.5-year minimum plus mandatory backend and ML stack make screening highly strict.
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Lead design, architecture, and implementation of high-scale distributed ad-serving systems ensuring availability and low latency.
Own the production and integration of ML models for ad ranking, managing scalable, real-time inference pipelines within the ad platform.
Drive search infrastructure migration and semantic search enhancements using vector databases to improve ad relevance; provide technical leadership and cross-functional collaboration.
Minimum 6.5 years experience in building and maintaining high-scale distributed backend systems with production ML/DS model deployment.
Strong expertise in Java (Spring Boot), Kafka, Redis, Aerospike, Solr, and system design for high reliability.
B.Tech/M.Tech in computer science, mathematics, or related from a premier institute.
Work Experience Required: Minimum 6.5 years as specified.
Experienced in pioneering scalable ad-tech platforms combining distributed systems and machine learning in production.
Proficient at bridging data science and engineering teams to productionize and optimize CTR/CVR ranking models.
Strategic thinker able to lead architectural decisions and mentor engineers in a fast-paced, high-impact environment.