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Tier-1 brand, mid-level generalist ML role, Bangalore metro, and broad skill requirements increase competition significantly.
Core ML and MLOps skills transfer across industries, though ads/recommendation domain experience is preferred.
Explicit 4+ years requirement plus mandatory MLOps, big-data, cloud, and model-serving skills makes filters highly strict.
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Design, build, and operate scalable ML systems and backend infrastructure for eBay's ads experiences including ranking, retrieval, and personalization.
Develop and manage MLOps pipelines for continuous integration, delivery, training, validation, and monitoring of production ML models including Generative AI models.
Collaborate with Applied Researchers and Engineering teams to productionize novel ML algorithms and ensure system performance, reliability, and efficiency at eBay scale.
Bachelor's degree in Computer Science or related field.
4+ years of relevant work experience in ML, AI, Data, or Software Engineering.
Experience with big data distributed processing frameworks such as Hadoop, Spark, or Flink.
Proficiency in production ML frameworks (TensorFlow, PyTorch), containerization (Docker, Kubernetes), cloud services (AWS, GCP, Azure), and designing scalable distributed systems with RESTful or gRPC APIs.
Experienced in engineering end-to-end ML platforms including data pipelines, model training, serving, and MLOps for large scale production environments.
Demonstrated ability to translate research prototypes and novel ML algorithms into robust, scalable, low-latency production services.
Strong software engineering skills in object-oriented programming languages (Scala, Java, Python) applied within complex ML/AI system development contexts.