Seize the opportunity 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 environments (AWS/Azure/GCP) • Understanding of Git and CI/CD processes

Make a mark in the data engineering field with your expertise and innovative outlook. #J-18808-Ljbffr

📌 AI/ML Databricks Engineer Opportunity (Winnipeg)
🏢 iLink Digital
📍 Winnipeg