Machine Learning Engineer II
Tasks
- Build AI driven workflows for coding testing and iteration
- Collaborate with global teams to integrate models into product platforms
- Conduct code reviews and maintain engineering standards
- Design train and deploy AI ML and NLP models at scale
- Implement resilient feedback loops and fallback strategies
- Migrate backend ML services and data infrastructure to public cloud
- Process massive datasets using big data pipelines
Perks/Benefits
Skills/Tech-stack
Apache Kafka | Apache Spark | Big Data | Cloud platform | Data pipeline | Discriminative Modeling | Generative AI | Google Cloud | Google Cloud Platform | Hadoop | Hugging Face | Inference Server | Java | Language Processing | Machine Learning | Model Deployment | NVIDIA Triton | NVIDIA Triton Inference | NVIDIA Triton Inference Server | Natural Language | Natural Language Processing | ONNX Runtime | Public Cloud | PyTorch | Python | Scikit-learn | TensorFlow | TensorRT-LLM | Triton Inference Server | VLLM
Education
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