Machine Learning Engineer (NLP) in Data Science UA

Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Profound understanding of deep learning. Hands-on experience with developing models in production. Strong programming skills in Python / C++, including experience with GPU, NLP, Nvidia Triton, and PyTorch. Excellent problem-solving abilities and a passion for innovation. Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. It will be a plus if you have: Experience working in a fast-paced, startup environment. Benefit package. Opportunity to collaborate with a dynamic, forward-thinking team. Continuous learning opportunities to remain at the forefront of industry trends & advancement. ,[Fine-tune Open-source LLMs: Customize and optimize pre-existing LLMs for specific tasks and improved performance., Build RAG Systems: Develop systems that integrate retrieval mechanisms into LLMs to enhance the generation of information-rich responses., Develop Conversational Applications: Create applications that utilize LLMs to provide engaging and intelligent conversational experiences., Research and Innovation: Stay abreast of the latest developments in LLMs, deep learning, and NLP. Propose and implement innovative approaches to solving complex problems., Collaboration: Work closely with the product and engineering teams to integrate machine learning models into the products and ensure they meet the high standards of scalability and reliability.] Requirements: Deep learning, Python, C++, GPU, NLP, PyTorch