Data Scientist

Key Responsibilities:

• Apply supervised and unsupervised learning techniques to solve real-world problems.
• Evaluate model feasibility, limitations, and trade-offs, ensuring the right approach is used for each task.
• Explore and contribute to Generative AI initiatives, including LLMs, embeddings, retrieval-augmented generation (RAG), and related technologies.
• Stay up to date with recent AI research, trends, and emerging technologies, and share insights with the team.
• Communicate technical concepts and recommendations clearly to stakeholders.

What we are looking for:

• Strong understanding and hands-on experience with supervised and unsupervised learning algorithms.
• Strong interest and knowledge with Generative AI concepts, including LLMs, embeddings, vector databases, RAG pipelines, and emerging AI technologies.
• Strong problem-solving and analytical skills, with the ability to communicate complex ...