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Strong brand, popular backend+ML role, mid-level experience and Bangalore location drive high candidate competition.
Requires deep ML systems, MLOps, and big-data expertise, limiting cross-industry transferability.
Explicit years, advanced ML, big-data, MLOps, and cloud/serving stack make hiring filters highly strict.
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Design, build, and operate scalable backend and ML systems supporting sponsored experiences, ranking, retrieval, and personalization for millions of users.
Develop and manage MLOps pipelines for continuous integration, delivery, training, validation, and monitoring of production-grade ML models, including Generative AI and LLM-based models.
Collaborate with Applied Researchers and cross-org teams to translate prototypes into low-latency, production-ready systems, while maintaining system performance and reliability.
MS in Computer Science or related field with 5+ years relevant experience, or BS/BA with 7+ years in ML/AI/Data Engineering.
Expertise in production software development with OO languages such as Scala, Java, or Python.
Experience with big data distributed processing frameworks like Apache Hadoop, Spark, Flink and production ML frameworks (TensorFlow, PyTorch).
Proven ability to build and manage CI/CD pipelines, containerization (Docker, Kubernetes), cloud services (AWS, GCP, Azure), and scalable distributed system design with REST/gRPC APIs.
Strong ability to engineer and operate 24/7 production ML systems with emphasis on reliability, monitoring, and incident response.
Experience integrating advanced ML models, including state-of-the-art Generative AI and LLMs, into production environments at scale.
Collaborative mindset working closely with applied researchers and product teams to convert ML prototypes into robust backend systems.