Data Engineer @ Trantor

Job Description

• Collaborate with machine learning engineers to understand the requirements for RAG pipelines
• Develop and deploy scalable data pipelines for training and inference
• Implement version control for training codes and data pipelines
• Monitor system performance and troubleshoot issues related to data flow and pipeline deployment
• Ensure data security and compliance with relevant regulations
• Optimize data storage and query performance

Requirements:

• 4+ years of experience in data engineering, particularly in deploying machine learning pipelines.
• Proficiency in Python, SQL, and data pipeline orchestration tools like Apache Airflow.
• Familiarity with cloud services like AWS or Azure.
• Understanding of computer science fundamentals: data structures, algorithms, and distributed systems.
• Experience with containerization technologies like Docker is a plus.
  Strong communication skills and the ability to work in a collaborative environment.
  Candidate should have some web dev experience
  He/she should be familiar with LLMs/RAG
  Must have strong experience with data structures and algorithms

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Keyskills:   Version control data security Cloud Services Machine learning Agile Data structures Management Distribution system SQL