NLP Research Engineer

## 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.