Large Language Model/Natural Language Processing – Artificial Intelligence Engineer

We are looking for teammates to work on Natural Language Processing and Large Language Models for our Research and Development activities in the field of Artificial Intelligence Software Technologies. In this position, you will contribute to improving the quality and impact of our AI solutions by working on Large Language Models (LLM) in the field of Natural Language Processing, such as text generation and dialog systems. 


GENERAL QUALIFICATIONS

• Graduates of Computer, Software or related engineering departments related to data-centric fields and/or M.A./PhD. students 
• Experience or interest in Machine Learning (ML), NLP, LLM and similar fields 
• Experience or interest in training, deploying and fine-tuning Large Language Models 
• Experience applying AI to real-world problems and knowledge of modeling techniques (regression, classification, etc.)
• Hands-on experience in Python and a good command of machine learning platforms such as TensorFlow or PyTorch
• Good enough command of English to read and understand technical documents 
• Ability to analyze complex problems and create effective solutions 
• Able to adapt to a busy work schedule and flexible working hours
• Team-oriented and responsible 
   

QUALIFICATIONS THAT MAY BE A REASON FOR PREFERENCE

• Having worked in one or all of the following fields: LLM, NLP, ML, object detection/classification, tracking, etc. 
• Knowledgeable about AI technologies such as LLMs, NLP, tokenization, embedding, etc. 
• Hands-on experience with ChatGPT, Open Source LLM Models (e.g. LLAMA 3, Mistral, Mixtral), Generative AI, RAG, Falcon and similar large language models
• Proficient with Conversational AI, such as developing chatbots and virtual assistants. 
• Knowledge of scalable machine learning architectures, cloud platforms and APIs 
• Knowledgeable in distributed training and optimization of LLMs. 
• Knowledgeable about containerization with Docker and container orchestration technologies such as Docker Swarm, Kubernetes, Slurm, etc.