• Infrastructure Development : Design and build scalable data infrastructure, including databases, virtual machines (VMs), and large language models (LLMs).
• Hands-on Implementations:
• Collaborate with cross-functional teams to design and implement data projects that align with company goals.
• Technology Sharing : Stay updated on the latest technologies and share insights with the team to foster a culture of continuous learning and improvement.
• Maintenance : Ensure the reliability and performance of data systems through regular maintenance and monitoring.

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.
• Proven experience in data engineering, database management, and infrastructure development.
• Strong knowledge of cloud services, virtualization, and data processing frameworks.
• Familiarity with large language models (LLMs) and their applications is a plus.
• Excellent problem-solving skills and the ability to work collaboratively in a team environment.
• Fresh graduates are also welcome to apply.

• Problem-Solving : Strong analytical skills with a focus on identifying and resolving data-related challenges.
• Machine Learning : Understanding of machine learning concepts, particularly in relation to LLMs.
• Programming Languages : Proficiency in languages such as Python, Java, or Scala for data manipulation and processing.
• Database Management : Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra).
• Cloud Platforms : Experience with cloud services such as AWS, Google Cloud, or Azure.
• Version Control : Proficiency in using version control systems like Git.

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