Technical Focus: Mastery of Python, Neural networks (Pytorch, tensorflow, JAX), Distributed systems (Ray or Spark), Orchestration (e.g., Airflow, Argo Workflows), MLOps (MLFlow/ Weights and Biases), DevOps (Docker, Kubernetes), Ranking, Search, Recommender systems, Java (nice to have), and Serving Frameworks (Nvidia Triton). Architect Hybrid Retrieval Systems: Develop multi-stage retrieval pipelines that successfully merge traditional feature-driven methods with semantic vector search, ensuring seamless integration with downstream ranking models for optimal performance.