MTS-2 Machine Learning Engineer
eBay (company site, opens in a new tab)9+ yrsBengaluruOn-siteDirect career pageEst. 40–70 LPA
Posted on 8 Sept
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Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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).
Ideal Candidate Profile
- 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.