Join a leading team as a Databricks Engineer, specializing in AI/ML to create robust data and machine learning platforms. Focus on scalable solutions and cutting-edge workflows in a team-oriented workplace. We are looking for a skilled Databricks Engineer with a strong background in AI/ML.

You will own the design, build, and optimization of data pipelines and ML workflows, implementing scalable ETL pipelines with Databricks and Spark. Collaboration with Data Scientists and Business teams will be vital to ensure data quality and compliance. Key Responsibilities:
Design and implement ETL pipelines with Databricks and Spark
Build Lakehouse architecture using Delta Lake
Develop and deploy ML models via MLflow
Implement MLOps pipelines for comprehensive model management
Optimize cluster performance to reduce costs

Requirements:
Minimum 5 years of Databricks & Apache Spark experience
Proficient in Python and PySpark
Familiar with Delta Lake and Lakehouse architecture
Knowledgeable in MLOps and cloud platforms (AWS/Azure/GCP)
Experience with Git and CI/CD workflows

Bring your data engineering expertise to create transformative machine learning solutions.

📌 Databricks Engineer With Ai/ml Focus Toronto (Canada)
🏢 iLink Digital
📍 Canada