Seize the chance to become an AI/ML Databricks Engineer, driving the design and optimization of innovative data platforms.

Your role will significantly impact machine learning implementations across the organization. As a Databricks Engineer, you will take ownership of end-to-end data pipelines and ML workflows.

Your responsibilities include building Lakehouse architecture, implementing scalable ETL pipelines, and optimizing MLOps practices for effective training and deployment of models. You will work closely with Data Scientists and Business teams, ensuring compliance and data integrity. Key Responsibilities:
Implement scalable ETL solutions with Databricks and Spark
Build Lakehouse architecture utilizing Delta Lake
Train and deploy ML models using MLflow
Create MLOps pipelines to streamline operations
Collaborate with analytics tools such as Power BI and Tableau

Requirements:
5+ years of experience in Databricks & Spark
Robust knowledge of Python and PySpark
Familiarity with Delta Lake and Lakehouse frameworks
Experience with MLOps and cloud settings (AWS/Azure/GCP)
Understanding of Git and CI/CD processes

Make a mark in the data engineering field with your expertise and innovative outlook.

📌 Ai/ml Databricks Engineer Opportunity Toronto
🏢 iLink Digital
📍 Toronto