AIML
Core
Develop neural models for text language identification across diverse scripts, regions, and user contexts.
Role type
Machine Learning Engineer (NLP)
Builds
End-to-end multilingual NLP solutions
Domain
Natural Language Processing
Deliverable
production ML models
Required skills
Neural model design, data curation, model evaluation, optimization, deployment, experiment design, multilingual dataset handling, Python, deep learning frameworks (PyTorch, TensorFlow, JAX)
Preferred skills
Text classification, language identification, dialect identification, embedding models, sentence representations, contrastive learning, quantization, pruning, knowledge distillation, low-resource languages, code-switching, Hugging Face ecosystem, Bash
Responsibilities
Design experiments, implement end-to-end multilingual NLP solutions, improve model accuracy, fairness, robustness, and inference efficiency for low-resource and mixed-language inputs, collaborate cross-functionally with researchers, engineers, linguists, and product teams
Seniority
Mid-level, hands-on IC
