AI Engineer
Job Description:
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.