Education/Experience and Skills Requirement:
- A final year undergraduate/graduate in computer science, information technology or a related field
- Basic understanding of Python and SQL for data manipulation and analysis
- Familiarity with data analytics tools such as Pandas, NumPy and Matplotlib
- Knowledge of Big Data technologies (e.g., Hadoop, Spark) is a plus
- Exposure to cloud platforms such as AWS, Azure or GCP is beneficial
- Basic understanding of Large Language Models (LLMs) and their applications
- Awareness of Neural Networks and Machine Learning (ML) applications
- Strong problem-solving skills and eagerness to learn new technologies
- Assist in data collection, cleaning and preprocessing for analysis
- Support in building Python scripts for data transformation and insights
- Work with SQL databases to query and extract relevant data
- Contribute to the development of ML models and LLM-based applications
- Explore Big Data tools and assist in cloud-based data processing tasks.
- Collaborate with senior team members on real-world data science projects
- Stay updated with emerging technologies in AI, ML and data science
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