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Description:
We are seeking a Data Scientist Intern to support our AI product development by analyzing data, building predictive models, and extracting insights.
You will work with real-world datasets, collaborate with AI engineers, and contribute to cutting-edge machine learning applications.
Experience working with LLMs and integrating applications with AI agents is highly desirable.
Key responsibilities include exploring, preprocessing, and analyzing large datasets to derive meaningful insights.
You will build and evaluate machine learning models for AI-driven applications.
The role involves working on feature engineering and model optimization techniques.
You will collaborate with engineers to deploy models into production.
Communicating findings through reports, dashboards, and visualizations is essential.
You will work on projects involving LLMs and AI agent integrations.
Requirements:
A recent bachelor graduate in Data Science, Computer Science, Physics, or related fields is required.
Experience with Python, SQL, and machine learning libraries (scikit-learn, TensorFlow, PyTorch, etc.) is necessary.
A strong understanding of statistics, data analysis, and feature engineering is required.
The ability to interpret and communicate complex data-driven insights is essential.
Knowledge of cloud computing and big data frameworks is a plus.
Experience working with LLMs and AI agent integration is preferred.
There is a strong preference for candidates with experience in OpenAI and Azure environments.
Full-time availability is required.
Advanced proficiency in English is required.
Benefits:
You will gain hands-on experience with real-world data science projects.
The opportunity to work with a team of AI and machine learning experts is provided.
Exposure to state-of-the-art AI technologies and applications is a key benefit.
There is a potential pathway to a full-time position upon completion of the internship.