Machine Learning (LLM) Research Internship

Note: Only candidates with a valid UAE visa or UAE citizenship will be considered for this internship opportunity.

We are a B2B WealthTech startup based in Abu Dhabi and backed by BNY Mellon (America’s oldest bank and first company to list on NYSE) and Lunate (a new $100B AUM alternative asset management firm based in Abu Dhabi, UAE). The company has raised $300M to build a state of the art wealth technology platform.

Our mission is to power and grow our clients’ Wealth franchises through differentiated experiences, financial solutions, and insights. Our digital wealth management platform- will enable banks and other financial institutions in the Middle East to grow and further penetrate affluent, HNW and UHNW investor segments.

While still leveraging the capabilities and knowledge of large organizations, our fintech is a startup with truly cross-functional and agile teams.

For more information, please visit www.alpheya.com

Alpheya is looking for a highly motivated Deep Learning / LLM Engineering Intern who will be a part of dynamic and extremely skilful AI team. In this role, you will have opportunity not only to experiment with cutting edge AI solutions including state-of-the-art models, high-end proprietary and open-source LLMs, agents, but also have a chance to implement your ideas into production pipelines and deliver new experience to our users.

Responsibilities

• News and text data analysis and validation
• Datasets preparation and versioning
• Prompt engineering and experimentation
• LLMs fine tuning and evaluation
• Development of models APIs and its deployment in production
• Algorithms monitoring and adjustment based on user’s feedback
• Participate in ideas brainstorming sessions as well as code review of team members

Requirements

• Currently pursuing Master’s or PhD in Computer Science, Data Science , Artificial Intelligence or similar field
• Strong skills with Python programming language
• Strong knowledge of basic data science and machine learning algorithms and workflows
• Good knowledge of advanced NLP techniques and models including transformers, LLMs, RAGs, agents etc.
• Experience with modern deep learning frameworks (Pytorch) and popular LLM-related libraries (huggingface)
• Familiar with engineering tools and practices including – Git, Docker, Kubernetes
• Arabic reading/writing/speaking is a plus

Duration: 4-12 weeks