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Tier-1 brand, metro Bangalore, mid-level ML/backend role attracts many qualified applicants.
Requires specialized ML systems and big-data skills that are transferable across tech sectors.
Requires 4+ years and specific MLOps, big-data, and ML framework experience.
Design, build, and operate scalable backend and MLOps systems supporting sponsored experiences, ranking, retrieval, and personalization at eBay scale.
Develop and maintain CI/CD pipelines, data pipelines, and APIs to enable production-grade ML models, including Generative AI models with low latency and high throughput.
Collaborate with Applied Researchers and Product teams to translate prototype ML models into robust production systems and monitor their performance.
Bachelor's degree in Computer Science or related field.
4+ years of relevant work experience in ML, AI, or Data Engineering.
Experience with big data distributed processing frameworks (e.g., Apache Hadoop, Spark, Flink) and ML frameworks like TensorFlow and PyTorch in production.
Experience building and managing CI/CD pipelines for ML models, including containerization (Docker, Kubernetes), cloud services (AWS, GCP, Azure), and expertise in designing scalable distributed systems with REST/gRPC APIs.
Experienced backend engineer skilled at bridging machine learning research and production software engineering.
Strong background in engineering data pipelines and MLOps for continuous integration, delivery, and model monitoring at large scale.
Comfortable working with state-of-the-art Generative AI technologies and collaborating cross-functionally with researchers and product managers to build scalable ML-powered ecommerce experiences.