Related skills
nlp tensorflow pytorch transformers hugging face๐ Description
- Build and productionize classification & extraction models for AI agents
- Convert large-scale unstructured data into high-quality signals
- Own ML lifecycle from problem framing to deployment & monitoring
- Hands-on ML systems work with focus on production readiness
๐ฏ Requirements
- NLP models: Transformers, BERT, NER
- PyTorch or TensorFlow
- Fine-tuning, PEFT/LoRA, transfer learning
- Dataset creation, labeling strategies, weak/supervised learning
- Model evaluation: precision, recall, F1; error analysis
- Experience with LLM APIs (GPT, Claude) and hybrid ML + LLM pipelines
- Model deployment: inference optimization and monitoring
- Ownership from research โ production
๐ Benefits
- Work on high-impact AI products for global enterprises
- Lead ML engineering strategy and AI platform
- Competitive compensation and India-based benefits
- Collaborative, innovation-driven team environment
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