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Graduate AI Developer
2 weeks ago
**Responsibilities and Qualifications**
- Learning & Development: Participate in hands-on training sessions on AI, ML, LLMs, and data engineering.
- Data Engineering Tasks: Assist in designing and optimizing data pipelines, supporting infrastructure for AI models.
- Data Collection & Processing: Clean, transform, and organize data for analytical or AI model use.
- Cross-Functional Collaboration: Work with data scientists, engineers, and business teams to deliver technical solutions.
- Problem-Solving: Apply analytical thinking to identify challenges and suggest solutions.
- Continuous Learning: Engage in ongoing training on AI/ML/data trends and tools.
Qualifications include a recent graduate degree in computer science, engineering, data science, or a related field, strong interest in AI and data engineering, familiarity with programming languages like Python, Java, or SQL, and interest in large datasets and tools like SQL, Hadoop, or Spark.