hybrid
Senior Lead AI
AI Engineer
Lead AI Engineer to design and deploy NLP models, optimize LLMs, and develop conversational systems using Rasa NLU and modern AI frameworks.
About the role
Key Responsibilities
- Design, build, and deploy NLP models for intent classification, named entity recognition (NER), and sentiment analysis using traditional methods (BiLSTM, TF-IDF) and modern frameworks
- Implement and optimize Large Language Models (LLMs) and Generative AI to enhance dialogue management and agent capabilities
- Lead the development and optimization of conversational systems using Rasa NLU
- Drive end-to-end development from proof-of-concept to production-ready systems, including API deployment
- Conduct design reviews, define technical standards, and mentor junior engineers
- Establish evaluation frameworks to measure model quality, accuracy, and safety
Requirements
- 7+ years of professional experience in AI/ML engineering
- 5+ years of hands-on experience with Python, including object-oriented programming and clean, testable code
- 3+ years of experience with BiLSTM, TF-IDF classifiers, and word embeddings (Word2Vec, GloVe)
- 2+ years of experience with Rasa NLU and Rasa Core
- Strong proficiency in ML frameworks: PyTorch or TensorFlow
Skills
pythonnlplarge language modelsrasa nlupytorchtensorflowdockerawsci cd