Job Description: Carry out exploratory data analysis to identify meaningful insights from datasets. Contribute to the development of machine learning models and pipelines. Help with implementing APIs or other mechanisms for model deployment. Create documentation and reports that summarize experimental results and team discussions. Design and build advanced AI solutions, particularly using technologies like Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). Qualifications: Currently studying or already holding a degree in Mathematics, Computer Science, or a related discipline. Experience through personal projects, academic projects, or open-source contributions that demonstrate practical use of AI/ML concepts. Familiarity with software development best practices such as version control (e.g., Git), testing, and code documentation. Solid knowledge of Python along with experience using key data science libraries. A strong sense of curiosity and enthusiasm for keeping up with developments in AI and Machine Learning. Willingness to adapt to new technologies and challenges. Effective written and verbal communication skills for technical discussions and documentation purposes. Strong analytical and critical thinking capabilities. Collaborate closely with software engineers and product teams to integrate AI functionalities into new and existing platforms.

AI Engineer

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