Full Stack Software Engineer | AI

About the Company

I am currently partnering with a forward-thinking technology firm that focuses on building advanced data intelligence systems. They specialize in transforming complex data signals into high-performance business assets through innovative engineering.

About the Job

• Architect and manage the "intelligence hub" of the organization, moving beyond basic data management to building high-performance systems.

• Own the entire product lifecycle, from designing Lakehouse architectures to implementing AI-driven logic.

• Develop and maintain full-stack applications that integrate complex backends with intuitive, responsive web interfaces.

• Build and optimize declarative data pipelines using Delta Live Tables (DLT) to serve production-grade Machine Learning models.

• Ensure operational excellence by managing model tracking via MLflow and governing data through Unity Catalog.

• Implement robust CI/CD workflows for both code and data to ensure seamless deployment within the Databricks ecosystem.

Skills and Requirements

• Degree in Computer Science, Software Engineering, or a related technical field.

• Deep mastery of Python (PySpark), React or Angular with a strong understanding of both OOP and data-oriented design.

• Hands-on experience deploying and monitoring AI models in production using tools like MLflow or Mosaic AI.

• Proven expertise in the Databricks stack, including Delta Lake, Spark SQL, and Databricks Workflows.

• Technical familiarity with DevOps for Data, including Databricks Asset Bundles (DABs), Git integration, and Docker.

• Full-stack capability with the ability to bridge the gap between backend data logic and frontend API consumption.
  

  To apply online please use the 'apply' function, alternatively you may contact Evangeline. (EA: 94C3609/ R24124002 )