Examples of what you could do:

📍Identifying innovative NLP solutions for our product suite and defining the roadmap for their implementation. 📍Lead the training, fine-tuning, and deployment of large language models 📍Oversee the AI lifecycle from data acquisition to model deployment and real-time monitoring, guaranteeing efficiency at each phase. 📍Collaborate with cross-functional units, fostering knowledge exchange and enhancing business impact through machine learning.

What you have:

📍An advanced degree (PhD or Master's) in computer science, artificial intelligence, or a related discipline. 📍Minimum of 3 year in model training, deployment, and procedures for efficiently acquiring and validating human-labeled data. 📍Established expertise and genuine passion for natural language processing (NLP), machine learning, deep learning, and large language models. 📍Experience training, fine-tuning and deploying large language models (LLM) 📍Proven track record of implementing NLP techniques to develop conversational agents, chatbots, or virtual assistants 📍Proficiency with deep learning frameworks like TensorFlow, PyTorch, and JAX. 📍Familiarity with NLP toolkits such as spaCy and Hugging Face Transformers. 📍Solid communication skills complemented by a history of fruitful collaborations. 📍Thrive in a high-tempo setting, demonstrating flexibility as project requirements shift. 📍Strong foundation in algorithms, data structures, and object-oriented programming. 📍Self-motivated and adept at operating independently.