Senior Machine Learning Engineer
Tasks
- Architect AI ML capabilities for real time personalization
- Balance compute costs latency quality and model performance
- Deploy and optimize ML LLM models for real time serving
- Implement automated feedback loops and fallback recovery
- Implement production LLM backed applications and agentic workflows
- Process petabyte scale data streams for insights
Perks/Benefits
Skills/Tech-stack
Agentic Workflows | Cloud platform | Google Cloud | Google Cloud Platform | Hadoop | Hugging Face | Inference Server | Java | Language Models | Language Processing | Large Language Models | Natural Language | Natural Language Processing | ONNX Runtime | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | Scikit-learn | Spark | TensorFlow | TensorRT-LLM | Tool integration | Triton Inference | Triton Inference Server | VLLM
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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