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Tier-1 employer, Bengaluru location, popular ML role and broad skillset create high candidate competition.
ML production, big-data, and LLM expertise is transferable, but requires specialized engineering experience.
Explicit 7+/9+ years and required MLOps, big-data, and LLM production skills imply high filter strictness.
Design, build, and operate scalable backend ML systems for sponsored experiences, ranking, retrieval, and personalization at eBay scale.
Develop and manage MLOps pipelines for continuous integration, delivery, training, validation, and monitoring of production-grade ML models, including Generative AI models and LLMs.
Collaborate with Applied Researchers and cross-org teams to translate prototypes into robust, low-latency, high-throughput production systems serving millions of users.
MS in Computer Science or related field with 7+ years experience OR BS/BA with 9+ years in ML/AI/Data Engineering.
Expertise in production software development using OO languages like Scala, Java, or Python.
Experience with big data distributed processing frameworks such as Apache Hadoop, Spark, Flink.
Proven experience building and managing CI/CD pipelines for ML models including containerization tools (Docker, Kubernetes).
Strong systems design skills for scalable, distributed ML services in a live 24/7 production environment with monitoring and incident response.
Experience implementing and optimizing both traditional ML and state-of-the-art Generative AI/LLM models for low-latency, high-throughput serving.
Comfortable working closely with Applied Researchers to turn novel algorithms into production-ready code and mentoring team members through technical guidance.