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Tier-1 brand, popular mid-level backend role, 4+ years, metro Bangalore increases competition.
Requires ML systems, big data, and MLOps expertise, so candidates need domain-specific backgrounds.
Explicit 4+ years plus mandatory ML/data, MLOps, cloud, and Kubernetes tech filters increase filtering.
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Design, build, and operate scalable backend and MLOps systems supporting sponsored experiences, ranking, retrieval, personalization, and Generative AI models.
Develop and own end-to-end ML pipelines including CI/CD, training, validation, monitoring of production-grade ML models at scale.
Collaborate with Applied Researchers and product teams to translate ML research prototypes into robust, low-latency production APIs serving millions of users.
Bachelor's degree in Computer Science or related area.
4+ years of relevant work experience in ML, AI, or Data Engineering roles.
Proficient in object-oriented programming languages such as Scala, Java, or Python.
Experience with big data distributed processing frameworks (e.g., Hadoop, Spark, Flink) and ML frameworks (TensorFlow, PyTorch) in production environments.
Experienced building and scaling distributed backend systems with cloud services (AWS/GCP/Azure) and container orchestration (Docker, Kubernetes).
Strong background in MLOps with proven ability to create CI/CD pipelines for ML models and monitoring production ML services.
Comfortable working at the intersection of software engineering and machine learning, translating novel algorithms into production-quality code in large-scale ecommerce environments.