AI Engineer

• Perform exploratory data analysis to uncover meaningful insights from datasets.
• Support the development of machine learning models and pipelines.
• Assist in implementing APIs or other mechanisms for deploying models.
• Prepare documentation and reports summarizing experimental findings and team discussions.
• Building and implementing advanced AI solutions, with a focus on technologies such as Large Language Models (LLMs) & Retrieval-Augmented Generation (RAG).

Qualifications:

• Currently pursuing or holding a degree in Mathematics, Computer Science, or a related field.
• Personal projects, academic projects, or contributions to open-source initiatives showcasing practical application of AI/ML concepts.
• Basic understanding of software development best practices, including version control (e.g., Git), testing, and code documentation.
• Strong foundation in Python and familiar with key data science libraries.
• Strong curiosity and a passion for learning and staying updated with advancements in AI and Machine Learning.
• Ability to adapt to new technologies and challenges.
• Excellent written and verbal communication skills for technical discussions and documentation.
• Strong analytical and critical thinking abilities.
• Work closely with software engineers and product teams to integrate AI functionalities into new and existing platforms.