Machine Learning/ Search Engineer - Services Special Projects
Tasks
- Build real-time inference pipelines
- Deploy and serve LLMs
- Design search systems
- Develop large scale search systems
- Enhance queries and query understanding
- Implement information retrieval ranking
- Optimize search infrastructure
- Personalize user experiences
- Serve embeddings in production
- Tune models for performance and quality
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Kafka | Batching | C++ | Cassandra | Cross-Encoder | DVC | Docker | Elasticsearch | Faiss | Feedback loops | Flink | Go | Graph Neural Networks | Inference Server | Information Retrieval | Java | KV cache | Kubernetes | LLM serving | Learned Sparse Representations | MLflow | Model Quantization | Model retraining | Model retraining pipelines | Multi-Objective Optimization | Multi-stage ranking | Neural Networks | ONNX Runtime | Objective optimization | OpenSearch | PyTorch | Python | Query Augmentation | Query Understanding | Real Time | Real-time Systems | Retraining Pipelines | SSTable | Spark | Sparse representations | TensorRT | TensorRT-LLM | TigerGraph | Time Systems | Torchserve | Transformers | Triton Inference | Triton Inference Server | User Feedback | User feedback loops | VLLM | Vector Search | Weights and Biases | XGBoost
Education
Regions
Countries
States
Cities
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