Description

You will design and maintain data pipelines while integrating Generative AI models into existing systems.

Responsibilities

• Design, develop, and maintain data pipelines and workflows.
• Integrate Generative AI models into existing data systems to enhance functionality.
• Collaborate with cross-functional teams to translate business needs into scalable data and AI solutions.
• Optimize data storage, processing, and retrieval systems for performance and scalability.
• Ensure data security, quality, and governance across all processes.

Required Skills

• 6+ years of hands-on experience in Data Engineering.
• Proficiency in Python and SQL.
• Experience with Generative AI frameworks such as GPT, DALLE, or Stable Diffusion.
• Familiarity with Java or Scala.
• Hands-on experience with Apache Spark or Hadoop.
• Knowledge of cloud platforms including AWS, Azure, or GCP.
• Experience with MLOps practices and AI model deployment.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Key Skills

Education

Bachelor's or Master's degrees